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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:47,710 --> 00:00:49,850 You know. There are drugs in this country that are 2 00:00:49,850 --> 00:00:50,940 classified as legal 3 00:00:50,950 --> 00:00:53,280 and other drugs that are classified as illegal. 4 00:00:53,430 --> 00:00:55,330 And, for some people, all it needs 5 00:00:55,340 --> 00:00:56,430 to be labeled is legal 6 00:00:56,550 --> 00:00:58,330 and if you have a doctor in place. 7 00:00:58,480 --> 00:01:00,420 A doctor's an authority figure 8 00:01:00,450 --> 00:01:01,910 who has the, you know, 9 00:01:02,000 --> 00:01:03,680 ability to prescribe drugs. 10 00:01:03,710 --> 00:01:04,800 A lot of people feel like, 11 00:01:04,800 --> 00:01:06,780 "Well. If a doctor prescribed it, 12 00:01:07,250 --> 00:01:08,650 it's fine." 13 00:01:08,740 --> 00:01:11,310 But if we look at someone like Michael Jackson 14 00:01:11,420 --> 00:01:13,450 who is probably 15 00:01:13,510 --> 00:01:16,110 the most famous person on the planet 16 00:01:16,110 --> 00:01:17,400 at the time that he died, 17 00:01:17,570 --> 00:01:20,340 he was getting drugs 18 00:01:20,340 --> 00:01:22,340 such as Propofol or Diprivan. 19 00:01:22,360 --> 00:01:24,940 This is a medication that is used in an operating room, 20 00:01:24,970 --> 00:01:27,140 should never be used outside of an operating room. 21 00:01:27,250 --> 00:01:29,220 But he was taking pain pills. 22 00:01:29,230 --> 00:01:32,000 He was taking pills for anxiety, 23 00:01:32,020 --> 00:01:33,400 pills for sleep. 24 00:01:33,480 --> 00:01:35,270 It's sort of an interesting question why, 25 00:01:35,280 --> 00:01:36,650 you know, are prescription drugs 26 00:01:36,650 --> 00:01:38,500 less dangerous than alcohol and cigarettes? 27 00:01:38,820 --> 00:01:40,450 Sometimes. But sometimes not. 28 00:01:50,910 --> 00:01:52,880 We've turned the corner on 29 00:01:52,890 --> 00:01:54,650 drug addiction in the United States. 30 00:01:55,220 --> 00:01:56,600 One of the most famous stars 31 00:01:56,600 --> 00:01:59,140 in Hollywood history is dead at 36. 32 00:01:59,770 --> 00:02:01,850 Marilyn Monroe was found dead in bed 33 00:02:02,020 --> 00:02:03,290 under circumstances that 34 00:02:03,300 --> 00:02:04,680 were in tragic contrast to her 35 00:02:04,680 --> 00:02:05,850 to her glamorous career 36 00:02:05,850 --> 00:02:06,970 as a comic talent. 37 00:02:07,110 --> 00:02:09,030 ♪ I'm gonna get it 'cause I'm a fiend 38 00:02:09,080 --> 00:02:10,280 ♪ sell the devil my soul 39 00:02:10,280 --> 00:02:11,650 ♪ to get me what I need 40 00:02:11,650 --> 00:02:12,650 ♪ get me a fix 41 00:02:12,650 --> 00:02:15,160 ♪ get me back into the zone just one more... ♪ 42 00:02:15,170 --> 00:02:16,980 I said, "We need an ambulance at Graceland. 43 00:02:17,570 --> 00:02:18,970 Get somebody real quick." 44 00:02:19,080 --> 00:02:21,680 Rigor mortis had set in. And... 45 00:02:21,740 --> 00:02:22,970 I turned him over real quick. 46 00:02:22,970 --> 00:02:25,110 I pulled up his pajama bottoms. 47 00:02:25,540 --> 00:02:27,550 He walked in, said, "Elvis is gone." 48 00:02:27,570 --> 00:02:28,480 ♪ tripled up on everything, 49 00:02:28,540 --> 00:02:29,940 ♪ I'm not breathing right 50 00:02:29,940 --> 00:02:30,940 ♪ it's got a hold on me 51 00:02:30,940 --> 00:02:32,600 ♪ and it might seize my life 52 00:02:39,940 --> 00:02:42,510 Flowers. Candles. Notes. 53 00:02:42,620 --> 00:02:44,020 These are items found 54 00:02:44,020 --> 00:02:46,180 left outside of the Manhattan apartment 55 00:02:46,180 --> 00:02:46,940 where the body of 56 00:02:46,940 --> 00:02:48,370 Oscar nominated actor 57 00:02:48,370 --> 00:02:49,510 Heath Ledger was found. 58 00:02:49,510 --> 00:02:51,080 Police say prescription pills 59 00:02:51,080 --> 00:02:52,170 were found nearby. 60 00:02:52,220 --> 00:02:54,110 An autopsy performed Wednesday 61 00:02:54,110 --> 00:02:55,570 was inconclusive. 62 00:02:59,310 --> 00:03:01,220 We have a-- gentleman here 63 00:03:01,220 --> 00:03:01,940 that needs help 64 00:03:01,940 --> 00:03:03,350 and he's not breathing. 65 00:03:03,360 --> 00:03:04,250 prescription drug abuse 66 00:03:04,250 --> 00:03:06,480 had been a problem for Jackson for years. 67 00:03:06,570 --> 00:03:07,800 Jackson family attorney 68 00:03:07,820 --> 00:03:09,630 Brian Oxman tells us weekly. 69 00:03:09,850 --> 00:03:10,600 "I warned them. 70 00:03:10,600 --> 00:03:11,850 There is the misuse of 71 00:03:11,850 --> 00:03:13,600 prescription medications by 72 00:03:13,600 --> 00:03:15,300 people who were enabling him." 73 00:03:19,340 --> 00:03:21,680 It all really started in 1972 74 00:03:21,680 --> 00:03:23,540 when Richard Nixon coined 75 00:03:23,610 --> 00:03:25,450 the phrase "The war on drugs." 76 00:03:25,450 --> 00:03:27,280 But it's pretty clear 77 00:03:27,280 --> 00:03:29,250 at this point that we have lost that war. 78 00:03:29,250 --> 00:03:30,510 And that war was really 79 00:03:30,540 --> 00:03:32,400 dealing with illegal drug trade. 80 00:04:00,680 --> 00:04:01,800 God bless you. 81 00:04:04,280 --> 00:04:06,220 What a glorious day 82 00:04:06,680 --> 00:04:08,080 for American seniors. 83 00:04:08,080 --> 00:04:12,000 A strong and modern Medicare starts today. 84 00:04:12,110 --> 00:04:13,910 It took a lot of work to get us here, 85 00:04:13,940 --> 00:04:15,220 and it took the leadership 86 00:04:15,340 --> 00:04:17,910 of President George W. Bush. 87 00:04:27,020 --> 00:04:29,240 Law enforcement now after 9/11 88 00:04:29,250 --> 00:04:30,820 is locking down the border 89 00:04:30,850 --> 00:04:32,680 and focusing on terrorism. 90 00:04:32,880 --> 00:04:34,310 But when you lock down the borders 91 00:04:34,310 --> 00:04:35,710 what's not getting in? 92 00:04:36,170 --> 00:04:38,020 All of the illegal substances 93 00:04:38,050 --> 00:04:39,820 that were coming in from out of state 94 00:04:39,940 --> 00:04:42,340 are significantly reduced. 95 00:04:42,880 --> 00:04:44,650 So look at the statistics. 96 00:04:44,820 --> 00:04:46,740 After 9/11, it looked like 97 00:04:46,740 --> 00:04:48,800 we were winning the war on drugs. 98 00:04:49,450 --> 00:04:50,910 But the problem is, 99 00:04:51,000 --> 00:04:54,220 no one addressed the drug seeking behavior. 100 00:04:54,570 --> 00:04:57,020 The supply was reduced of your 101 00:04:57,020 --> 00:04:58,540 of your street level drug. 102 00:04:58,710 --> 00:05:00,740 But the demand was still there 103 00:05:00,950 --> 00:05:02,450 for the misuse of drugs. 104 00:05:02,540 --> 00:05:04,000 Whitney Houston was 105 00:05:04,020 --> 00:05:06,080 pronounced dead at the Beverly Hilton hotel. 106 00:05:06,080 --> 00:05:07,480 Greg Giraldo, who died from 107 00:05:07,480 --> 00:05:08,310 accidental overdose. 108 00:05:08,310 --> 00:05:10,200 Brittany Murphy, she died very suddenly. 109 00:05:10,220 --> 00:05:11,710 Leslie Carter has died. 110 00:05:11,710 --> 00:05:14,800 I was addicted to Oxycontin and Opanas. 111 00:05:14,940 --> 00:05:17,340 40 milligrams a day along with 112 00:05:17,420 --> 00:05:18,370 Dilaudid. 113 00:05:18,420 --> 00:05:20,400 4 milligrams six times a day. 114 00:05:20,450 --> 00:05:22,450 I was taking Norco. 115 00:05:22,570 --> 00:05:24,140 I was taking about eight a day. 116 00:05:24,200 --> 00:05:26,340 'co... Anywhere from two to-- 117 00:05:26,340 --> 00:05:27,940 Every two to three hours. 118 00:05:28,050 --> 00:05:29,620 about six times a day. 119 00:05:29,740 --> 00:05:31,600 Norco. Eight a day. 120 00:05:31,870 --> 00:05:33,620 And pretty much every other 121 00:05:33,620 --> 00:05:37,510 Opioid or dangerous narcotic 122 00:05:37,550 --> 00:05:38,280 that's out there. 123 00:05:38,370 --> 00:05:40,110 He said he had hurt his back 124 00:05:40,380 --> 00:05:43,310 and that he was taking it because 125 00:05:43,310 --> 00:05:44,170 his back was hurting. 126 00:05:44,220 --> 00:05:49,110 Oxycontin and Roxicodone 127 00:05:49,110 --> 00:05:53,050 and... Somas. 128 00:05:54,650 --> 00:05:56,000 All prescribed at one time. 129 00:05:56,050 --> 00:05:58,600 And this doctor was prescribing him 130 00:05:58,710 --> 00:06:02,800 medication for an illness he didn't have. 131 00:06:03,020 --> 00:06:05,140 He kind of lost his-- 132 00:06:05,710 --> 00:06:08,170 his drive... you want to say. 133 00:06:08,420 --> 00:06:10,650 And I went to work. And about 134 00:06:10,650 --> 00:06:13,570 probably like, 10:00-- I don't... even the day... 135 00:06:13,770 --> 00:06:15,940 the day is just a mess for me. 136 00:06:16,050 --> 00:06:19,420 I get a call. And it's my mom. 137 00:06:20,600 --> 00:06:22,000 She says: 138 00:06:22,310 --> 00:06:23,910 "Something's wrong with Joseph. 139 00:06:23,970 --> 00:06:25,710 I went to wake him up 140 00:06:26,160 --> 00:06:29,530 and there's this stuff coming out of his mouth." 141 00:06:30,620 --> 00:06:32,000 And I yelled at my mom. 142 00:06:32,450 --> 00:06:34,170 I'm like. "Why are you calling me? 143 00:06:34,170 --> 00:06:35,220 Why aren't you calling the-- 144 00:06:35,250 --> 00:06:37,420 you know, the paramedics or something?" 145 00:06:37,600 --> 00:06:39,480 I ran out of work, I left work. 146 00:06:39,570 --> 00:06:42,570 And I prayed all the way home, 147 00:06:42,710 --> 00:06:44,140 tried to bargain with god 148 00:06:44,740 --> 00:06:46,540 No bargaining with god. 149 00:06:47,220 --> 00:06:48,650 I got here. 150 00:06:49,280 --> 00:06:50,970 No paramedics. 151 00:06:53,420 --> 00:06:55,000 Only police. 152 00:06:58,450 --> 00:07:00,080 And so he was gone. 153 00:07:04,200 --> 00:07:07,820 And from what the coroner says, he... 154 00:07:07,880 --> 00:07:09,800 he only took one pill. 155 00:07:10,370 --> 00:07:12,080 He took one pill. 156 00:07:12,970 --> 00:07:15,220 And his body couldn't handle it anymore. 157 00:07:16,140 --> 00:07:18,400 And he went to sleep. He didn't wake up. 158 00:07:19,400 --> 00:07:21,140 And I guess they found out that. 159 00:07:21,170 --> 00:07:22,850 Well, maybe it wasn't just my son. 160 00:07:22,910 --> 00:07:25,020 Maybe there's others. 161 00:07:25,170 --> 00:07:28,080 So they started doing their own undercover work. 162 00:07:28,620 --> 00:07:30,570 They went in there undercover 163 00:07:30,620 --> 00:07:32,280 and how easy it is to walk into 164 00:07:32,280 --> 00:07:34,880 a doctor's office and say your back hurts 165 00:07:34,970 --> 00:07:37,510 "My neck hurts, my leg hurts." 166 00:07:38,220 --> 00:07:41,370 and get a prescription for 167 00:07:41,450 --> 00:07:43,080 A drug that is really for people 168 00:07:43,080 --> 00:07:44,310 with, like, cancer or something 169 00:07:44,310 --> 00:07:48,510 that's very--you know, a very severe illness. 170 00:07:48,950 --> 00:07:51,240 OK. My name is sergeant Steve Opferman 171 00:07:51,250 --> 00:07:53,200 from the Los Angeles county Sheriff's Department. 172 00:07:53,220 --> 00:07:54,680 I'm assigned to our detective 173 00:07:54,710 --> 00:07:56,800 division, major crimes bureau. 174 00:07:56,880 --> 00:07:59,050 I supervise a multi-agency Task Force 175 00:07:59,050 --> 00:08:00,310 called HALT, which is the 176 00:08:00,310 --> 00:08:02,370 Health Authority Law Enforcement Task Force. 177 00:08:02,420 --> 00:08:04,910 We handle over 100 cases a year. 178 00:08:04,940 --> 00:08:07,080 We confiscate and destroy 179 00:08:07,200 --> 00:08:09,140 probably $3 - $5 millions worth of 180 00:08:09,140 --> 00:08:11,200 confiscated drugs annually. 181 00:08:11,250 --> 00:08:13,080 We've estimated we've probably 182 00:08:13,110 --> 00:08:14,450 saved the government by 183 00:08:14,450 --> 00:08:15,770 stopping, you know, a lot of 184 00:08:15,770 --> 00:08:17,110 These illegal businesses about 185 00:08:17,220 --> 00:08:19,740 $50 million in Medicare 186 00:08:19,740 --> 00:08:20,880 and Medi-Cal claims. 187 00:08:21,080 --> 00:08:22,410 This is an example of 188 00:08:22,770 --> 00:08:24,220 medications that we seize from 189 00:08:24,220 --> 00:08:25,280 what we call "a capper". 190 00:08:25,310 --> 00:08:26,370 This is a recruiter that would 191 00:08:26,370 --> 00:08:28,510 go around skid row and, you know, 192 00:08:28,520 --> 00:08:29,850 find people with Medicare cards. 193 00:08:30,280 --> 00:08:31,880 When we're talking about the 194 00:08:31,880 --> 00:08:32,960 non-controlled substances, 195 00:08:32,960 --> 00:08:33,880 when we're talking about 196 00:08:33,880 --> 00:08:33,910 medicines themselves. when we're talking about 197 00:08:33,910 --> 00:08:35,140 medicines themselves. 198 00:08:35,330 --> 00:08:36,850 There's a different black market 199 00:08:37,020 --> 00:08:38,570 but the drugs are initially 200 00:08:38,650 --> 00:08:40,500 acquired by the same means. 201 00:08:40,740 --> 00:08:42,710 The main focus by government 202 00:08:42,800 --> 00:08:44,400 is usually on supply. 203 00:08:44,540 --> 00:08:46,100 If we reduce the supply, 204 00:08:46,110 --> 00:08:47,710 that reduces the problem. 205 00:08:47,940 --> 00:08:49,300 Well, not true. 206 00:08:49,310 --> 00:08:51,940 If you have drug seeking behavior 207 00:08:52,250 --> 00:08:53,850 and you reduce the supply, 208 00:08:53,880 --> 00:08:55,020 it's like squeezing the 209 00:08:55,020 --> 00:08:55,850 End of a balloon. 210 00:08:55,910 --> 00:08:58,080 It just blows up somewhere else. 211 00:08:58,280 --> 00:09:00,340 And you see this tremendously 212 00:09:00,340 --> 00:09:02,200 with drugs, whether it's illegal 213 00:09:02,220 --> 00:09:03,880 drugs and legal drugs. 214 00:09:03,910 --> 00:09:07,220 The model of sort of optimizing 215 00:09:07,220 --> 00:09:09,570 control and profits on drugs 216 00:09:10,020 --> 00:09:12,140 is, to me, very much one model, 217 00:09:12,170 --> 00:09:14,140 because the economics of both 218 00:09:14,200 --> 00:09:15,880 the illegal and the legal drugs 219 00:09:15,910 --> 00:09:18,400 are very integral from a-- 220 00:09:18,420 --> 00:09:20,670 from a policy and governance standpoint. 221 00:09:20,850 --> 00:09:21,940 I'm pleased that all of you 222 00:09:21,940 --> 00:09:24,620 are here to witness the greatest advance 223 00:09:25,340 --> 00:09:26,910 in health care coverage 224 00:09:26,970 --> 00:09:29,110 for America's seniors 225 00:09:29,650 --> 00:09:32,240 since the founding of Medicare. 226 00:09:35,250 --> 00:09:37,380 This social phenomena is now 227 00:09:37,390 --> 00:09:39,290 growing with the misuse of 228 00:09:39,290 --> 00:09:40,770 pharmaceutical drugs. 229 00:09:40,910 --> 00:09:42,850 Everybody, including their parents, 230 00:09:42,880 --> 00:09:44,230 their brothers, their sisters 231 00:09:44,230 --> 00:09:45,220 their grandparents, 232 00:09:45,310 --> 00:09:46,650 everybody's popping pills. 233 00:09:48,000 --> 00:09:50,290 ♪ I'm feeling shitty now 234 00:09:50,300 --> 00:09:52,100 ♪ my pills are gone 235 00:09:52,100 --> 00:09:52,110 ♪ I done popped all my vicodin ♪ my pills are gone 236 00:09:52,110 --> 00:09:56,100 ♪ I done popped all my vicodin 237 00:09:56,100 --> 00:09:58,170 ♪ the other day 238 00:09:58,170 --> 00:10:02,040 ♪ now that my meds are done 239 00:10:02,040 --> 00:10:03,870 ♪ I'm paranoid 240 00:10:03,880 --> 00:10:06,110 ♪ but I'm get high 241 00:10:06,120 --> 00:10:09,110 ♪ in some other way 242 00:10:09,120 --> 00:10:12,220 ♪ I must get high 243 00:10:12,230 --> 00:10:15,080 ♪ in some other way 244 00:10:15,090 --> 00:10:17,860 ♪ I got to get high 245 00:10:17,860 --> 00:10:20,960 ♪ to get through the day 246 00:10:20,970 --> 00:10:24,030 ♪ I must get high 247 00:10:24,030 --> 00:10:26,830 ♪ to get through the day 248 00:10:26,840 --> 00:10:46,490 ♪ I must get high 249 00:10:46,490 --> 00:10:51,290 ♪ get high 250 00:10:51,300 --> 00:10:52,390 ♪ I must get high 251 00:10:52,390 --> 00:10:58,530 ♪ getting in it now 252 00:10:58,530 --> 00:11:00,930 Prescription drug abuse is 253 00:11:00,940 --> 00:11:02,800 rising in all categories in the 254 00:11:02,810 --> 00:11:03,910 United States and all age groups. 255 00:11:03,940 --> 00:11:05,140 But unfortunately, 256 00:11:05,170 --> 00:11:07,050 12- to 17-years olds are 257 00:11:07,110 --> 00:11:09,880 the fastest growing segment of everybody, 258 00:11:09,880 --> 00:11:12,480 growing faster in terms of drug abuse, 259 00:11:12,540 --> 00:11:14,020 prescription drug abuse. 260 00:11:14,140 --> 00:11:17,000 The state of Florida is now experiencing 261 00:11:17,220 --> 00:11:19,620 up to seven individuals a day 262 00:11:19,800 --> 00:11:21,650 dying from the misuse 263 00:11:21,740 --> 00:11:22,770 and the abuse of 264 00:11:22,770 --> 00:11:24,020 pharmaceutical drugs. 265 00:11:24,140 --> 00:11:25,710 We have three times as many 266 00:11:25,740 --> 00:11:27,480 people die every year from 267 00:11:27,480 --> 00:11:29,530 prescription pills versus 268 00:11:29,540 --> 00:11:32,480 heroin, cocaine, and methamphetamine combined. 269 00:11:32,620 --> 00:11:34,770 They started going to physicians' offices. 270 00:11:34,970 --> 00:11:38,310 They started getting drugs from "legitimate sources." 271 00:11:38,570 --> 00:11:41,220 And all of a sudden you can see the influx 272 00:11:41,400 --> 00:11:42,970 in pain management clinics. 273 00:11:42,970 --> 00:11:44,650 You can see the influx 274 00:11:44,680 --> 00:11:46,820 In legalized drug dealing. 275 00:11:47,370 --> 00:11:50,110 Broward, which is the Fort Lauderdale area, 276 00:11:50,110 --> 00:11:53,340 is the epicenter of this pill mill epidemic. 277 00:11:54,110 --> 00:11:56,050 And what we saw was that, in the 278 00:11:56,080 --> 00:11:59,540 first six months of 2008, 279 00:11:59,910 --> 00:12:05,910 67% of the Oxycodone nationwide 280 00:12:06,620 --> 00:12:09,100 that was put out by dispensing practitioners 281 00:12:09,110 --> 00:12:11,340 came out of Broward county, Florida. 282 00:12:11,540 --> 00:12:15,280 The entire mid-eastern quadrant 283 00:12:15,480 --> 00:12:18,340 of the U.S., all those states 284 00:12:18,400 --> 00:12:21,020 had a prescription drug monitoring program. 285 00:12:21,310 --> 00:12:23,650 Well, what that did is started to drive 286 00:12:23,660 --> 00:12:27,420 drug seekers--and I'm not gonna use the term "patient", 287 00:12:27,480 --> 00:12:29,990 it drove drug seekers from those states 288 00:12:29,990 --> 00:12:31,360 into the state of Florida. 289 00:12:31,710 --> 00:12:34,200 Prescription drug abuse is rising. 290 00:12:34,250 --> 00:12:35,400 But the innocent victims 291 00:12:35,420 --> 00:12:38,510 are the infants born exposed to opiates in utero. 292 00:12:38,510 --> 00:12:42,220 Broward county Florida has seen a quadruple increase 293 00:12:42,310 --> 00:12:43,600 and more than half of the people 294 00:12:43,620 --> 00:12:45,480 taking prescription drugs are women. 295 00:12:45,570 --> 00:12:47,370 They're--over the last several years, 296 00:12:47,370 --> 00:12:50,140 there has been no regulation whatsoever 297 00:12:50,220 --> 00:12:51,680 in terms of patients 298 00:12:51,710 --> 00:12:53,080 being able to go to different offices 299 00:12:53,080 --> 00:12:55,820 and get prescription pills. 300 00:12:55,910 --> 00:12:57,140 And because of that, 301 00:12:57,170 --> 00:12:58,450 you have an influx of people 302 00:12:58,480 --> 00:13:00,140 actually coming from other states 303 00:13:00,260 --> 00:13:02,120 to get these medications. 304 00:13:02,130 --> 00:13:04,420 So as the number of adults and 305 00:13:04,450 --> 00:13:06,560 women rise taking these 306 00:13:06,570 --> 00:13:08,540 prescription pills, it's no 307 00:13:08,570 --> 00:13:10,230 surprise that they're having 308 00:13:10,230 --> 00:13:11,960 babies that are dependent on 309 00:13:11,970 --> 00:13:12,940 painkillers. 310 00:13:13,080 --> 00:13:15,250 Yeah. There you go, Ok, look right there. 311 00:13:15,740 --> 00:13:16,930 He's making a buy 312 00:13:17,000 --> 00:13:18,740 with the guy in the brown. 313 00:13:19,800 --> 00:13:21,770 He's got his money in his hand. 314 00:13:21,780 --> 00:13:23,310 He's showing him something. 315 00:13:23,770 --> 00:13:26,170 The drug dealers, when they're dealing with prescription drugs. 316 00:13:26,170 --> 00:13:28,120 Get the insurance companies. 317 00:13:28,120 --> 00:13:29,710 Medi-Cal or Medicaid. 318 00:13:29,770 --> 00:13:32,020 These programs pay for these drugs. 319 00:13:32,680 --> 00:13:34,140 And then they're resold. 320 00:13:34,140 --> 00:13:36,880 It starts with people that we call "cappers" 321 00:13:37,000 --> 00:13:37,820 that generally 322 00:13:37,830 --> 00:13:39,570 drive around indigent 323 00:13:39,600 --> 00:13:41,600 neighborhoods, anywhere where people 324 00:13:41,600 --> 00:13:43,030 are receiving government 325 00:13:43,040 --> 00:13:45,650 benefits, primarily Medicare. 326 00:13:45,850 --> 00:13:47,800 They're usually never seen by a doctor. 327 00:13:47,940 --> 00:13:50,510 Somebody in there will write a prescription. 328 00:13:50,540 --> 00:13:51,820 Then they'll pay that person to 329 00:13:51,880 --> 00:13:53,910 go to a pharmacy and fill that prescription. 330 00:13:53,970 --> 00:13:54,910 And then they'll 331 00:13:54,910 --> 00:13:56,400 give those drugs back to what we 332 00:13:56,450 --> 00:13:57,280 call a capper. 333 00:13:57,340 --> 00:13:58,600 They will take those drugs to 334 00:13:58,650 --> 00:14:00,320 somebody that's generally 335 00:14:00,320 --> 00:14:02,180 involved in organized crime 336 00:14:02,190 --> 00:14:03,020 here in L.A. 337 00:14:03,050 --> 00:14:04,250 They'll take them back to 338 00:14:04,280 --> 00:14:06,000 retail pharmacies that they own. 339 00:14:06,200 --> 00:14:07,200 They'll take them back to what 340 00:14:07,280 --> 00:14:08,540 They call closed-door pharmacies 341 00:14:08,540 --> 00:14:10,310 that they own. Use that as part 342 00:14:10,340 --> 00:14:11,250 of their inventory. 343 00:14:11,340 --> 00:14:14,200 So now they're able to bill again Medicare 344 00:14:14,200 --> 00:14:16,080 for prescribing these drugs to, 345 00:14:16,110 --> 00:14:18,880 say, an elderly patient in a nursing home. 346 00:14:19,310 --> 00:14:21,300 That person never receives those 347 00:14:21,300 --> 00:14:22,700 drugs even though there's 348 00:14:22,700 --> 00:14:24,670 a paper trail and a billing 349 00:14:24,670 --> 00:14:25,900 trail created so they can 350 00:14:25,910 --> 00:14:27,380 continue billing. 351 00:14:27,380 --> 00:14:28,480 Then when those drugs expire. 352 00:14:28,480 --> 00:14:31,080 they're gonna package them up. 353 00:14:31,090 --> 00:14:32,040 and they're gonna take them to 354 00:14:32,050 --> 00:14:33,080 out-of-state to a wholesale 355 00:14:33,090 --> 00:14:34,440 repackaging business. 356 00:14:34,450 --> 00:14:35,990 If you automate all the 357 00:14:35,990 --> 00:14:37,820 records in the state, all the 358 00:14:37,820 --> 00:14:40,120 controlled substance records, 359 00:14:40,130 --> 00:14:42,320 and a physician accesses your 360 00:14:42,320 --> 00:14:44,120 file through the PDMP, he can 361 00:14:44,130 --> 00:14:47,100 see whatever physicians you've 362 00:14:47,100 --> 00:14:48,330 been to, what quantities you've 363 00:14:48,340 --> 00:14:50,360 been prescribed. 364 00:14:50,370 --> 00:14:52,000 And if he's checking the system, 365 00:14:52,010 --> 00:14:54,160 and you've received a controlled 366 00:14:54,170 --> 00:14:55,370 substance from another doctor. 367 00:14:55,380 --> 00:14:57,300 he's not going to prescribe, 368 00:14:57,310 --> 00:14:59,410 because that's a threat to his 369 00:14:59,410 --> 00:15:00,540 license. 370 00:15:00,550 --> 00:15:01,870 That would be a legitimate 371 00:15:01,880 --> 00:15:03,010 doctor identifying drug seeking 372 00:15:03,020 --> 00:15:05,480 activity. 373 00:15:05,480 --> 00:15:06,980 So our bill, our original 374 00:15:06,980 --> 00:15:08,080 bill last year would've charged 375 00:15:08,080 --> 00:15:09,880 1/4 cent per prescription 376 00:15:09,880 --> 00:15:12,120 drug -- pill, I should say -- 377 00:15:12,120 --> 00:15:14,420 to go into a fund, to collect 378 00:15:14,420 --> 00:15:15,790 a few million dollars, so that we 379 00:15:15,790 --> 00:15:17,450 could develop the capacity to 380 00:15:17,460 --> 00:15:18,890 get everyone who writes 381 00:15:18,900 --> 00:15:19,860 prescriptions--175.000 people 382 00:15:19,860 --> 00:15:23,330 who are legally able to write 383 00:15:23,330 --> 00:15:25,100 prescriptions in California-- 384 00:15:25,100 --> 00:15:27,000 to be electronically on this database. 385 00:15:27,080 --> 00:15:29,650 So in real time, the Department of Justice 386 00:15:29,710 --> 00:15:32,250 and the doctor prescribing the drug 387 00:15:32,370 --> 00:15:35,480 can see who's prescribing what drugs. 388 00:15:35,540 --> 00:15:36,710 And on the other hand, 389 00:15:36,740 --> 00:15:38,510 the Department of Justice can see 390 00:15:38,510 --> 00:15:39,820 that if there are physicians or 391 00:15:39,850 --> 00:15:41,800 anyone who's allowed to write 392 00:15:41,850 --> 00:15:43,620 prescriptions are abusing it 393 00:15:43,620 --> 00:15:46,280 and basically taking the trust 394 00:15:46,310 --> 00:15:48,020 the public puts in them as physicians 395 00:15:49,020 --> 00:15:50,140 and abusing it 396 00:15:50,220 --> 00:15:52,260 by making profit money by selling 397 00:15:52,270 --> 00:15:54,510 opiates, painkillers to people. 398 00:15:54,680 --> 00:15:57,910 They found a prescription 399 00:15:58,020 --> 00:16:02,800 receipt in his car, and I guess. 400 00:16:02,850 --> 00:16:04,510 The coroner called the doctor 401 00:16:04,610 --> 00:16:06,570 asked him: "What did you give this boy? 402 00:16:06,910 --> 00:16:08,680 What did you give this boy?" 403 00:16:09,140 --> 00:16:10,850 The doctor said "Well, why?" 404 00:16:11,000 --> 00:16:12,440 "Because he's dead. 405 00:16:12,970 --> 00:16:14,220 He's dead. 406 00:16:14,420 --> 00:16:15,980 He's 25 years old. And he's dead." 407 00:16:17,490 --> 00:16:19,490 Then he told him what he prescribed to him. 408 00:16:20,340 --> 00:16:22,400 And it was 409 00:16:22,540 --> 00:16:26,540 The roxi... No, Oxycontin. 410 00:16:26,820 --> 00:16:28,340 It's... the form of it was 411 00:16:28,340 --> 00:16:30,400 the kind that does not... 412 00:16:31,250 --> 00:16:33,740 it doesn't time release or something like that. 413 00:16:33,770 --> 00:16:37,340 It's just instantaneous pain relief. 414 00:16:37,710 --> 00:16:39,640 So systematically from 2001 415 00:16:39,650 --> 00:16:42,210 up to approximately 2009. 416 00:16:42,210 --> 00:16:44,410 the state of Florida fought for 417 00:16:44,410 --> 00:16:46,580 a PDMP in the legislature. 418 00:16:47,220 --> 00:16:48,740 Bills were introduced. 419 00:16:48,850 --> 00:16:51,250 And it was fought down every year. 420 00:16:51,250 --> 00:16:54,600 Purdue Pharma also stepped up to the plate 421 00:16:54,740 --> 00:16:56,740 and most recently as of a week ago, 422 00:16:56,740 --> 00:16:59,620 offered $1 million to support 423 00:16:59,650 --> 00:17:02,170 the state of Florida in a PDMP program. 424 00:17:02,340 --> 00:17:05,820 and to pay for the PDMP program for the state of Florida. 425 00:17:06,110 --> 00:17:08,300 And this is where politics comes into play. 426 00:17:08,650 --> 00:17:10,510 The governor of the state of Florida 427 00:17:10,620 --> 00:17:13,540 declined and does not 428 00:17:13,570 --> 00:17:15,510 see fit that a PDMP 429 00:17:15,510 --> 00:17:17,710 be implemented within the state of Florida. 430 00:17:18,140 --> 00:17:20,570 He cites that it's a violation of privacy. 431 00:17:20,650 --> 00:17:22,220 I met with the pharmaceutical industry 432 00:17:22,220 --> 00:17:23,140 I was right upfront with them. 433 00:17:23,140 --> 00:17:24,420 I told them: "This is what I want to do. 434 00:17:24,420 --> 00:17:26,370 It seems to me it's in your best interest 435 00:17:26,600 --> 00:17:27,910 to help us do this. 436 00:17:27,930 --> 00:17:29,170 It's not in your best interest 437 00:17:29,170 --> 00:17:31,370 to read about people dying from 438 00:17:31,400 --> 00:17:33,370 abuse of your legal product." 439 00:17:33,540 --> 00:17:36,250 And we had some good meetings 440 00:17:36,250 --> 00:17:38,480 but when the bill actually went to Committee 441 00:17:38,480 --> 00:17:39,910 and, obviously, had to get 442 00:17:39,940 --> 00:17:41,880 passed out of Committee in a majority vote 443 00:17:41,940 --> 00:17:43,910 to get here to the floor of the Senate, 444 00:17:44,020 --> 00:17:45,110 I couldn't do it. 445 00:17:45,170 --> 00:17:46,370 I couldn't do it twice. 446 00:17:46,450 --> 00:17:49,800 The first time, I came out of 447 00:17:49,850 --> 00:17:50,800 the hearing room, and I could 448 00:17:50,850 --> 00:17:52,170 see some lobbyist talking with 449 00:17:52,170 --> 00:17:53,170 a couple of my colleagues. 450 00:17:53,170 --> 00:17:54,800 And these are democratic colleagues 451 00:17:55,050 --> 00:17:57,080 who I thought I had their vote. 452 00:17:58,250 --> 00:18:00,110 And when the roll call was taken, 453 00:18:00,140 --> 00:18:01,370 I didn't have their vote. 454 00:18:01,600 --> 00:18:03,220 If we are seeing 455 00:18:03,510 --> 00:18:06,370 rapid acceleration of 456 00:18:06,680 --> 00:18:08,770 prescription drugs that are being given 457 00:18:08,800 --> 00:18:11,480 to more and more and more people including children 458 00:18:11,480 --> 00:18:13,110 over the years in the future, 459 00:18:13,280 --> 00:18:14,680 we are also looking at 460 00:18:14,740 --> 00:18:19,000 a corresponding increase of diagnoses by doctors. 461 00:18:19,220 --> 00:18:21,080 What was once a diagnostic 462 00:18:21,110 --> 00:18:23,250 manual that was paper thin 463 00:18:23,340 --> 00:18:25,340 is now a huge book with hundreds of 464 00:18:25,340 --> 00:18:28,250 diagnoses in it that grows and grows and grows 465 00:18:28,850 --> 00:18:30,250 to the point where people are 466 00:18:30,250 --> 00:18:31,770 being sliced and diced 467 00:18:32,110 --> 00:18:35,570 where there is nothing wrong with the person, 468 00:18:35,570 --> 00:18:37,940 but something is being said 469 00:18:37,940 --> 00:18:39,280 to be wrong with that person. 470 00:18:39,310 --> 00:18:42,620 It gets into that area in this country. 471 00:18:42,620 --> 00:18:45,820 We have created illnesses for drugs. 472 00:18:45,970 --> 00:18:49,710 So, in other words, I've seen, you see, 473 00:18:49,740 --> 00:18:51,640 people have seen the commercial "Restless Leg Syndrome." 474 00:18:51,650 --> 00:18:53,280 Most people had never heard of that. 475 00:18:53,450 --> 00:18:55,450 But once that commercial started playing, 476 00:18:55,480 --> 00:18:57,680 the number of diagnoses 477 00:18:57,680 --> 00:18:59,280 for restless leg syndrome 478 00:18:59,280 --> 00:19:00,320 went through the roof! 479 00:19:00,570 --> 00:19:03,000 Fortunately, there's Mirapex. 480 00:19:03,000 --> 00:19:05,170 Mirapex is a prescription medicine 481 00:19:05,170 --> 00:19:08,050 that helps relieve the frequency and severity of many 482 00:19:08,050 --> 00:19:08,970 R.L.S symptoms. 483 00:19:09,030 --> 00:19:11,080 Just recently, I saw 484 00:19:11,080 --> 00:19:12,850 a commercial where there is a guy 485 00:19:12,850 --> 00:19:14,560 mid-40s, early 50s, 486 00:19:14,570 --> 00:19:16,680 and the narrator is like: 487 00:19:16,680 --> 00:19:18,170 "You can't hit the golf ball 488 00:19:18,170 --> 00:19:19,730 as far as you used to. 489 00:19:19,740 --> 00:19:21,570 You don't have the energy level you're used to, 490 00:19:21,570 --> 00:19:23,940 You're not the same guy you were in the bedroom." 491 00:19:24,110 --> 00:19:25,480 And it says, "Maybe you're 492 00:19:25,510 --> 00:19:27,440 suffering from Low 'T'." 493 00:19:27,450 --> 00:19:29,220 And then I'm like, “What is low T?" 494 00:19:29,280 --> 00:19:32,000 And then before I can even say that to myself, 495 00:19:32,020 --> 00:19:34,850 the announcer says, "Low 'T' is low testosterone." 496 00:19:35,650 --> 00:19:37,450 Testosterone levels drop 497 00:19:37,480 --> 00:19:39,340 normally in men as they get older. 498 00:19:39,370 --> 00:19:41,200 It's not necessarily a problem. 499 00:19:41,370 --> 00:19:44,280 But they're creating a problem 500 00:19:44,310 --> 00:19:46,630 because there is now a new treatment, 501 00:19:46,630 --> 00:19:47,280 a new pill for it. 502 00:19:47,280 --> 00:19:49,560 Critics, anyway, of direct-to-consumer advertising 503 00:19:49,680 --> 00:19:51,820 say that it leads to a lot of problems. 504 00:19:51,850 --> 00:19:54,440 that it, number one, over-medicalizes things 505 00:19:54,440 --> 00:19:56,740 in society that are really not medical problems 506 00:19:56,820 --> 00:19:59,010 like..., an example of that is anxiety, 507 00:19:59,050 --> 00:20:00,850 so... "Social Anxiety Syndrome"! 508 00:20:00,910 --> 00:20:04,680 Another example is premenstrual symptoms. 509 00:20:04,680 --> 00:20:05,800 And my doctor told me, 510 00:20:05,820 --> 00:20:08,000 "That's not PMS; that's PMDD." 511 00:20:08,020 --> 00:20:10,200 Unlike PMS, Symptoms of PMDD 512 00:20:10,220 --> 00:20:12,570 are severe enough to actually interfere with your life. 513 00:20:12,570 --> 00:20:16,000 Things like this, that are kind of normal for humans, 514 00:20:16,080 --> 00:20:18,340 are turned into a disease, and people 515 00:20:18,340 --> 00:20:20,850 subsequently request medication treatment 516 00:20:20,940 --> 00:20:23,250 for these things that may not even be a disease at all! 517 00:20:23,250 --> 00:20:25,910 So that's been a criticism of direct-to-consumer advertising. 518 00:20:25,940 --> 00:20:28,480 Attention Yaz, Yasmin, and Ocella users. 519 00:20:28,480 --> 00:20:31,050 The FDA says these drugs may cause blood clot 520 00:20:31,050 --> 00:20:32,820 and serious heart and health problems. 521 00:20:32,820 --> 00:20:34,050 There are a lot of direct-to-consumer 522 00:20:34,050 --> 00:20:36,050 advertisements of anti-depressants. 523 00:20:36,140 --> 00:20:37,250 And typically, 524 00:20:37,310 --> 00:20:38,800 people will come in if they're depressed, 525 00:20:38,820 --> 00:20:40,540 asking for those particular drugs 526 00:20:40,540 --> 00:20:42,680 as opposed to older alternatives. 527 00:20:42,740 --> 00:20:44,540 And interestingly, one of the drugs 528 00:20:44,540 --> 00:20:46,650 that is currently being marketed for depression 529 00:20:46,650 --> 00:20:49,280 is actually a drug that's used for psychosis, 530 00:20:49,310 --> 00:20:50,880 for things like Schizophrenia. 531 00:20:51,020 --> 00:20:52,680 But that it... it is useful 532 00:20:52,710 --> 00:20:55,110 as an adjunct to depression medicines 533 00:20:55,140 --> 00:20:57,250 in cases of very severe depression. 534 00:20:57,420 --> 00:20:58,880 And we saw a lot of ads. 535 00:20:58,880 --> 00:21:01,070 In our review of direct- to-consumer advertisements 536 00:21:01,080 --> 00:21:03,250 we saw a lot of ads for this particular drug. 537 00:21:03,250 --> 00:21:05,450 And I have had a lot of patients asking me for it 538 00:21:05,450 --> 00:21:07,880 even though it is actually completely inappropriate. 539 00:21:07,970 --> 00:21:09,910 Abilify treats depression in adults 540 00:21:09,910 --> 00:21:11,970 when added to an anti-depressant. 541 00:21:12,050 --> 00:21:13,940 Some people had symptom improvement 542 00:21:13,940 --> 00:21:15,970 in as early as one to two weeks. 543 00:21:16,020 --> 00:21:18,170 Adding Abilify has made a difference for me. 544 00:21:18,170 --> 00:21:19,450 I mean. The ads don't say 545 00:21:19,450 --> 00:21:21,050 that it's a first line agent for depression 546 00:21:21,050 --> 00:21:23,940 but because it's advertised and the people in the ads look happy, 547 00:21:24,000 --> 00:21:25,960 you know, patients who are depressed 548 00:21:26,200 --> 00:21:28,510 want a drug that's gonna make them happy too. 549 00:21:28,740 --> 00:21:31,650 And it's been very interesting, people are asking for this drug that 550 00:21:31,680 --> 00:21:33,850 they really don't want to take. 551 00:21:33,910 --> 00:21:37,220 The most successful PR campaign 552 00:21:37,250 --> 00:21:38,680 in the history of the world 553 00:21:39,050 --> 00:21:42,280 was Eli Lilly PR-ing that 554 00:21:42,280 --> 00:21:45,650 depression is caused by a biochemical imbalance 555 00:21:45,920 --> 00:21:48,250 and that Prozac could fix it. 556 00:21:48,630 --> 00:21:51,750 There was some interesting 557 00:21:51,760 --> 00:21:52,660 research done looking at the 558 00:21:52,660 --> 00:21:54,630 group for the diagnostic manual 559 00:21:54,630 --> 00:21:56,900 that made up the diagnoses for 560 00:21:56,900 --> 00:21:59,030 psychoses and for mood 561 00:21:59,040 --> 00:22:01,260 disorders which are some of the 562 00:22:01,270 --> 00:22:03,200 main places that the drug 563 00:22:03,210 --> 00:22:05,260 companies make money from. 564 00:22:05,270 --> 00:22:07,270 And every single member of the 565 00:22:07,280 --> 00:22:09,300 Psychiatric Association's 566 00:22:09,310 --> 00:22:10,940 Committee was involved with drug 567 00:22:10,950 --> 00:22:12,670 companies, getting money from 568 00:22:12,680 --> 00:22:13,950 drug companies, all of them. 569 00:22:13,950 --> 00:22:15,980 About six years ago 570 00:22:15,990 --> 00:22:18,750 my father passed away. 571 00:22:18,750 --> 00:22:19,880 My parents had been married over 572 00:22:19,880 --> 00:22:21,720 45 years. And my mom-- 573 00:22:21,720 --> 00:22:24,080 very healthy, in her 70s, 574 00:22:24,090 --> 00:22:25,690 on no medications--went to her 575 00:22:25,700 --> 00:22:27,290 doctor for regular checkup. 576 00:22:27,290 --> 00:22:29,020 And the doctor looked at her 577 00:22:29,030 --> 00:22:29,960 and said, "You know, Miss Smith, 578 00:22:29,970 --> 00:22:31,390 you just don't look like your 579 00:22:31,400 --> 00:22:32,360 usual self," and she went ahead 580 00:22:32,370 --> 00:22:33,830 and told the doctor, “Well, my 581 00:22:33,830 --> 00:22:36,100 husband of 45, 50 years just 582 00:22:36,100 --> 00:22:38,360 passed away." 583 00:22:38,370 --> 00:22:40,140 So before my mom could even 584 00:22:40,140 --> 00:22:41,810 finish saying anything, he was 585 00:22:41,810 --> 00:22:43,110 writing out a prescription. 586 00:22:43,110 --> 00:22:45,040 So he handed her a prescription. 587 00:22:45,050 --> 00:22:47,840 and my mom said, “What is this?" 588 00:22:47,850 --> 00:22:49,250 and he said, "It's Prozac for Depression." 589 00:22:49,340 --> 00:22:50,680 And my mom looked at him and said 590 00:22:50,680 --> 00:22:52,780 "I'm not depressed, I'm just sad." 591 00:22:52,910 --> 00:22:54,510 And I think this is really 592 00:22:54,570 --> 00:22:56,600 a microcosm of what is going on 593 00:22:56,620 --> 00:22:57,800 in this country at this time. 594 00:22:57,820 --> 00:22:59,650 People have a problem. 595 00:22:59,740 --> 00:23:01,280 And instead of asking them 596 00:23:01,280 --> 00:23:02,600 “What is the problem?" 597 00:23:02,650 --> 00:23:03,820 here's a pill for it. 598 00:23:03,940 --> 00:23:05,880 Now, think about how bizarre it is 599 00:23:06,000 --> 00:23:07,690 to sum up a person's life 600 00:23:07,700 --> 00:23:09,970 struggle with a diagnosis like 601 00:23:09,970 --> 00:23:11,650 bi-polar disorder. 602 00:23:12,070 --> 00:23:13,480 Think about Lincoln, 603 00:23:13,850 --> 00:23:16,300 there have been innumerable books 604 00:23:16,310 --> 00:23:18,020 studying Lincoln, trying to figure out 605 00:23:18,050 --> 00:23:20,250 "Who was Lincoln? What made Lincoln tick?" 606 00:23:20,400 --> 00:23:22,770 But a psychiatrist says "Bipolar disorder"! 607 00:23:23,450 --> 00:23:25,650 It used to be that a young 608 00:23:25,710 --> 00:23:27,950 sophomore in college struggling 609 00:23:27,960 --> 00:23:31,480 with his angst and his sadness and his depression 610 00:23:31,570 --> 00:23:33,450 would read Kierkegaard 611 00:23:33,540 --> 00:23:37,940 or read some other really deep and brooding book 612 00:23:37,970 --> 00:23:39,800 to find some solutions to life. 613 00:23:39,850 --> 00:23:43,280 Or he'd study philosophy, maybe read some Freud, 614 00:23:43,310 --> 00:23:44,970 maybe get some therapy, 615 00:23:45,050 --> 00:23:47,280 But he'd view himself or herself 616 00:23:47,280 --> 00:23:49,800 as struggling with life issues. 617 00:23:51,050 --> 00:23:53,540 Now that same college sophomore 618 00:23:53,540 --> 00:23:56,620 has already read in textbooks 619 00:23:57,020 --> 00:23:59,770 that all the anguish that people feel 620 00:23:59,880 --> 00:24:02,570 is about biochemical imbalances 621 00:24:02,910 --> 00:24:05,450 And with that, all the learning 622 00:24:05,460 --> 00:24:08,940 of western civilization is thrown out. 623 00:24:09,570 --> 00:24:12,540 People are addicted to the idea of drugs. 624 00:24:12,650 --> 00:24:13,850 There's lots of addiction. 625 00:24:13,880 --> 00:24:15,880 They believe that drugs will help them. 626 00:24:15,940 --> 00:24:18,020 People are overusing this thing, 627 00:24:18,020 --> 00:24:20,740 these products that were created to ease their pain. 628 00:24:20,850 --> 00:24:22,080 And it's creating more pain, 629 00:24:22,110 --> 00:24:23,820 I mean, that's the irony of-- 630 00:24:23,910 --> 00:24:27,340 and that's--and everything endemic in our culture is like 631 00:24:27,540 --> 00:24:29,200 “Well, get rid of my pain," you know, 632 00:24:29,220 --> 00:24:31,180 "just get rid of it. I'll pay anything for it." 633 00:24:31,400 --> 00:24:33,140 But it's not getting rid of anything. 634 00:24:33,250 --> 00:24:34,800 It's making things worse. 635 00:24:35,170 --> 00:24:39,820 This is an outrageous societal phenomenon. 636 00:24:40,280 --> 00:24:42,970 And it indicates a culture 637 00:24:42,970 --> 00:24:47,000 losing touch with empathy for itself as individuals 638 00:24:47,000 --> 00:24:49,310 and empathy for other human beings, 639 00:24:49,540 --> 00:24:52,280 a culture that has just gotten caught up 640 00:24:52,280 --> 00:24:56,620 in the end product and efficiency and work 641 00:24:56,770 --> 00:24:59,080 and not at all thinking about 642 00:24:59,420 --> 00:25:00,740 “What is life about? 643 00:25:00,910 --> 00:25:02,020 Who am I? 644 00:25:02,370 --> 00:25:03,600 Who are my children? 645 00:25:03,650 --> 00:25:05,600 Are my children gifts from god? 646 00:25:05,680 --> 00:25:07,370 Are they to be treasured? 647 00:25:07,820 --> 00:25:09,970 Do they require that I change my life 648 00:25:10,020 --> 00:25:11,990 to bring them up better? 649 00:25:12,250 --> 00:25:15,340 Or are they objects to be tinkered with and given drugs?" 650 00:25:15,510 --> 00:25:19,040 Talking with my doctor, he diagnosed me with ADHD. 651 00:25:19,050 --> 00:25:20,480 And I told him at that point 652 00:25:20,500 --> 00:25:22,220 that my children were taking Concerta. 653 00:25:22,230 --> 00:25:24,170 I said, You know, "Is there reason to think 654 00:25:24,280 --> 00:25:25,310 that it would work for me?" 655 00:25:25,320 --> 00:25:26,820 And he said, "Absolutely." 656 00:25:27,250 --> 00:25:31,170 ♪ And I’ll probably 657 00:25:31,180 --> 00:25:32,340 ♪ never change 658 00:25:32,350 --> 00:25:36,310 ♪ the more I try 659 00:25:36,310 --> 00:25:38,280 ♪ the more I stay the same 660 00:25:38,280 --> 00:25:41,180 ♪ I hate to look in the mirror 661 00:25:41,190 --> 00:25:42,550 ♪ 'cause all I see 662 00:25:42,560 --> 00:25:44,150 ♪ somebody sprung 663 00:25:44,160 --> 00:25:45,290 ♪ that looks me 664 00:25:45,290 --> 00:25:46,460 ♪ I hate to look in the mirror 665 00:25:46,460 --> 00:25:47,760 ♪ 'cause all I see 666 00:25:47,760 --> 00:25:49,360 ♪ somebody sprung 667 00:25:49,370 --> 00:25:50,460 ♪ that looks like me 668 00:25:50,460 --> 00:25:51,790 ♪ and I can't break my habits 669 00:25:51,800 --> 00:25:54,800 ♪ I'm an American addict 670 00:25:55,020 --> 00:25:58,420 The point man in my Administration on this issue 671 00:25:59,680 --> 00:26:01,770 was Secretary Tommy Thompson. 672 00:26:02,440 --> 00:26:04,110 And he and his team 673 00:26:04,140 --> 00:26:06,400 did a fabulous job 674 00:26:06,710 --> 00:26:08,770 of working with the Congress 675 00:26:08,880 --> 00:26:11,370 to get this important piece of legislation passed. 676 00:26:11,370 --> 00:26:13,570 Tommy, I want to thank you for your leadership. 677 00:26:14,170 --> 00:26:16,710 This bill passed the Congress 678 00:26:17,200 --> 00:26:19,740 because of the strong leadership 679 00:26:20,940 --> 00:26:23,420 of a handful of members. 680 00:26:23,800 --> 00:26:26,370 Starting with the speaker of the House, 681 00:26:26,370 --> 00:26:27,600 Dennis Hastert. 682 00:26:34,370 --> 00:26:36,310 The speaker was joined by 683 00:26:36,310 --> 00:26:39,970 Senator Bill Frist, Senate Majority leader of the Senate 684 00:26:39,970 --> 00:26:44,420 in providing the leadership necessary to get this bill done. 685 00:26:44,420 --> 00:26:44,450 I want to thank you both. in providing the leadership necessary to get this bill done. 686 00:26:44,450 --> 00:26:45,770 I want to thank you both. 687 00:26:47,080 --> 00:26:48,600 I appreciate the hard work of 688 00:26:48,620 --> 00:26:51,000 the House Majority leader Tom Delay 689 00:26:51,020 --> 00:26:52,790 to see that this bill was passed, 690 00:26:53,420 --> 00:26:56,220 Committee chairman Bill Thomas for his good work. 691 00:26:57,970 --> 00:27:00,830 Senator Chuck Grassley did a noble job. 692 00:27:02,570 --> 00:27:04,930 Senator Max Baucus of Montana 693 00:27:06,740 --> 00:27:08,850 and senator John Breaux, 694 00:27:09,540 --> 00:27:12,370 Mr. Billy Tauzin of the House of Representatives 695 00:27:12,370 --> 00:27:14,200 did great work on this bill. 696 00:27:16,340 --> 00:27:18,370 Senator Orrin Hatch from Utah 697 00:27:18,370 --> 00:27:20,750 made a significant contribution. 698 00:27:21,080 --> 00:27:23,340 Nancy Johnson, the House member 699 00:27:23,370 --> 00:27:25,200 from Connecticut did a great job. 700 00:27:27,830 --> 00:27:30,080 Mike Bilirakis from Florida 701 00:27:30,080 --> 00:27:32,420 worked hard on this piece of legislation. 702 00:27:35,080 --> 00:27:36,570 I want to thank all the other members 703 00:27:36,570 --> 00:27:38,480 of the Congress and the Senate who have joined us. 704 00:27:38,510 --> 00:27:41,880 Thank you all for taking time out of your busy schedules 705 00:27:41,910 --> 00:27:43,850 to share in this historic moment. 706 00:27:51,450 --> 00:27:54,200 The Bush Administration did Medicare part D 707 00:27:54,220 --> 00:27:56,510 to help the elderly alright, 708 00:27:56,800 --> 00:27:59,880 the elderly owners in the Pharmaceutical industry, 709 00:28:00,140 --> 00:28:02,250 the people who are the CEOs, 710 00:28:02,310 --> 00:28:04,620 the people who are the major stockholders. 711 00:28:04,770 --> 00:28:07,680 When I worked on Wall street or when I worked in Washington, 712 00:28:07,820 --> 00:28:09,170 We would never ask the question 713 00:28:09,170 --> 00:28:11,870 on how do we make money on something, 714 00:28:12,140 --> 00:28:14,800 so much as the question would be asked: 715 00:28:15,000 --> 00:28:16,900 “Where do we want the world to go 716 00:28:16,910 --> 00:28:19,250 and then how do we engineer things 717 00:28:19,420 --> 00:28:21,080 so that it will go that way?" 718 00:28:21,170 --> 00:28:23,310 I left Wall street, and I went to Washington, 719 00:28:23,310 --> 00:28:26,000 and then I left Washington and moved to Tennessee. 720 00:28:26,020 --> 00:28:28,710 And one of the things I struggled the most with was 721 00:28:28,850 --> 00:28:31,370 explaining to my family and friends 722 00:28:31,450 --> 00:28:33,420 how the economic model 723 00:28:33,420 --> 00:28:36,090 that America works on really works. 724 00:28:36,220 --> 00:28:38,850 And I finally--I finally decided 725 00:28:38,850 --> 00:28:39,880 to write a case study. 726 00:28:39,910 --> 00:28:43,110 It's called "Dillon Read & the Aristocracy of Stock Profits." 727 00:28:43,400 --> 00:28:46,000 And it tells the story of 728 00:28:46,140 --> 00:28:49,310 how Wall street made money on 729 00:28:49,340 --> 00:28:51,740 helping financing private prisons. 730 00:28:52,170 --> 00:28:54,110 And I-- I wrote it because I wanted 731 00:28:54,110 --> 00:28:55,110 people to understand that 732 00:28:55,110 --> 00:28:58,620 a very fundamentally non-economic activity 733 00:28:58,680 --> 00:29:01,220 can become very profitable for many people. 734 00:29:01,480 --> 00:29:04,220 What Medicare part D did was 735 00:29:04,220 --> 00:29:06,080 it gave the drug companies 736 00:29:06,110 --> 00:29:10,050 the ability to name their price for Pharmaceuticals 737 00:29:10,250 --> 00:29:14,250 and to get it, and have the government pay for it. 738 00:29:14,400 --> 00:29:18,540 What you'll often see is sort of a combination 739 00:29:18,680 --> 00:29:20,820 of an industry making money 740 00:29:20,820 --> 00:29:24,880 and government engineering the incentives and the economics 741 00:29:25,020 --> 00:29:28,480 so that, whether it's the consumer or the taxpayer, 742 00:29:28,620 --> 00:29:31,020 they also make money going in that direction. 743 00:29:31,020 --> 00:29:32,050 Now this is an industry, 744 00:29:32,050 --> 00:29:35,170 from my understanding and from some amount of research, 745 00:29:35,510 --> 00:29:37,680 that has really changed in the last 20 years. 746 00:29:37,740 --> 00:29:39,170 At least people will opine that 747 00:29:39,170 --> 00:29:40,680 there are venture capitalists 748 00:29:40,770 --> 00:29:43,190 who did a good deal of research 749 00:29:43,190 --> 00:29:45,080 to see who Americans trusted. 750 00:29:45,280 --> 00:29:47,850 And Americans used to and still 751 00:29:47,850 --> 00:29:49,650 do put a lot of trust in people 752 00:29:49,650 --> 00:29:51,250 in white smocks, pharmacists, 753 00:29:51,280 --> 00:29:53,450 doctors--as they should-- 754 00:29:53,540 --> 00:29:56,310 and in pharmaceutical companies. 755 00:29:56,650 --> 00:29:58,880 Unfortunately, in my opinion, 756 00:29:59,080 --> 00:30:00,820 like a lot of things in the 757 00:30:00,820 --> 00:30:02,880 investment world, there were 758 00:30:02,880 --> 00:30:03,850 people who went in and took 759 00:30:03,850 --> 00:30:05,200 companies over and what 760 00:30:05,220 --> 00:30:07,000 companies used to pride 761 00:30:07,050 --> 00:30:08,050 themselves on Research 762 00:30:08,080 --> 00:30:10,200 and Development and providing 763 00:30:10,280 --> 00:30:11,850 a product to the United States public 764 00:30:11,880 --> 00:30:13,450 that would lengthen your 765 00:30:13,450 --> 00:30:14,800 lives and make them healthier 766 00:30:14,850 --> 00:30:16,650 lives somewhat got corrupted 767 00:30:16,660 --> 00:30:18,450 and got driven more about 768 00:30:19,570 --> 00:30:21,740 Profitability, Return on 769 00:30:21,740 --> 00:30:22,340 Investment. 770 00:30:22,400 --> 00:30:24,080 If you look at the amount of 771 00:30:24,080 --> 00:30:26,680 money they spend on lobbying in 772 00:30:26,710 --> 00:30:29,050 the last cycle, it was about 773 00:30:29,110 --> 00:30:31,780 $272 million. 774 00:30:31,780 --> 00:30:34,710 I mean, they have more lobbyists 775 00:30:34,740 --> 00:30:37,020 active than there are members of Congress. 776 00:30:37,200 --> 00:30:40,050 There's $64 billion in profits 777 00:30:40,060 --> 00:30:43,280 last year. And that's on 778 00:30:43,310 --> 00:30:46,370 revenues of about $254 billion 779 00:30:46,880 --> 00:30:50,310 for the top 12 pharmaceutical companies. 780 00:30:50,680 --> 00:30:53,730 So you're talking about an enormous economic impact, 781 00:30:54,020 --> 00:30:56,540 an extraordinary lobbying impact 782 00:30:56,740 --> 00:30:58,450 and a real political impact. 783 00:30:58,570 --> 00:31:00,850 We have something in this country call 784 00:31:01,280 --> 00:31:02,640 a medical cartel. 785 00:31:03,280 --> 00:31:05,370 A cartel is basically 786 00:31:05,540 --> 00:31:09,710 interlocking interests that form 787 00:31:09,800 --> 00:31:13,280 either a monopoly or something close to monopoly. 788 00:31:13,570 --> 00:31:16,720 We're talking about companies, corporations. 789 00:31:17,080 --> 00:31:18,740 In this case, we're talking about 790 00:31:18,740 --> 00:31:21,220 pharmaceutical companies, medical schools, 791 00:31:21,230 --> 00:31:24,480 government agencies like the FDA. 792 00:31:24,570 --> 00:31:27,310 And I went back to Harvard for my first year of residency 793 00:31:27,310 --> 00:31:28,480 right at the time that 794 00:31:28,480 --> 00:31:31,360 the politics of psychiatry was changing. 795 00:31:31,570 --> 00:31:33,910 When I interviewed for Harvard, 796 00:31:34,050 --> 00:31:37,140 I was interviewed by a family therapist, 797 00:31:37,150 --> 00:31:40,220 and I met people who were doing family therapy 798 00:31:40,220 --> 00:31:42,850 and psychoanalysis and social therapies. 799 00:31:42,970 --> 00:31:46,120 One year later, the program had 800 00:31:46,120 --> 00:31:48,950 changed into a biological 801 00:31:48,960 --> 00:31:53,370 psychiatric program where you had limited time with your patients 802 00:31:53,450 --> 00:31:55,710 and spent most of your time doing medication, 803 00:31:55,710 --> 00:31:58,110 managing wards, giving ECT. 804 00:31:58,140 --> 00:32:00,770 This transformation was not through science. 805 00:32:00,850 --> 00:32:04,480 This was a decision by political psychiatry 806 00:32:04,480 --> 00:32:06,170 that the future was with 807 00:32:06,310 --> 00:32:08,400 selling biology and drugs 808 00:32:08,410 --> 00:32:10,710 as the solution to human suffering 809 00:32:10,710 --> 00:32:13,080 if psychiatry was gonna keep its power 810 00:32:13,170 --> 00:32:14,650 and its status. 811 00:32:14,820 --> 00:32:18,170 Well, originally, modern medical schools 812 00:32:18,170 --> 00:32:20,000 were mainly funded by 813 00:32:20,200 --> 00:32:23,510 huge medical non-profit foundations. 814 00:32:24,140 --> 00:32:28,310 Those foundations had a particular view of medicine 815 00:32:29,000 --> 00:32:32,020 that was leaning toward what has become 816 00:32:32,110 --> 00:32:34,050 modern pharmaceutical medicine. 817 00:32:34,200 --> 00:32:36,910 And so to honor these grants 818 00:32:36,970 --> 00:32:40,970 the medical schools were funded and even established 819 00:32:41,020 --> 00:32:43,570 to teach that brand of medicine. 820 00:32:43,620 --> 00:32:45,880 Many people, when they look at a university, 821 00:32:45,880 --> 00:32:47,550 see a university, see a school. 822 00:32:47,550 --> 00:32:49,740 That's not what I see. I see an endowment, 823 00:32:49,820 --> 00:32:53,110 and a lot of intergenerational capital that 824 00:32:53,110 --> 00:32:54,650 finances corporations 825 00:32:54,710 --> 00:32:56,340 is sheltered from taxes 826 00:32:56,370 --> 00:32:58,480 by managing it through endowments, 827 00:32:58,480 --> 00:33:00,050 often for universities. 828 00:33:00,250 --> 00:33:01,620 So everywhere you go, there's 829 00:33:01,630 --> 00:33:04,000 the psycho-pharmaceutical complex. 830 00:33:04,140 --> 00:33:05,820 And its tentacles reach 831 00:33:05,820 --> 00:33:09,110 deeply down into our educational system. 832 00:33:09,510 --> 00:33:12,340 We--we now have a situation 833 00:33:12,340 --> 00:33:14,880 where the drug companies are sponsoring 834 00:33:15,050 --> 00:33:18,340 programs to go into our schools 835 00:33:18,480 --> 00:33:20,310 to monitor our kids 836 00:33:20,370 --> 00:33:23,200 and find out who may be having a problem 837 00:33:23,200 --> 00:33:26,070 so that they can be evaluated psychiatrically 838 00:33:26,080 --> 00:33:29,170 and sent off to clinics where -- guess what they'll get? 839 00:33:29,570 --> 00:33:30,510 Pills. 840 00:33:30,620 --> 00:33:32,340 People will be much less 841 00:33:32,370 --> 00:33:34,600 prone to slip through the cracks. 842 00:33:35,510 --> 00:33:38,170 Because we have forces operating 843 00:33:38,850 --> 00:33:40,620 on the family, 844 00:33:41,200 --> 00:33:44,220 on the schools, the workplace, 845 00:33:44,850 --> 00:33:47,800 to guarantee, in a sense, 846 00:33:48,400 --> 00:33:52,510 that the over-medicalization of society takes place. 847 00:33:52,610 --> 00:33:54,310 The government money, and the 848 00:33:54,310 --> 00:33:56,180 government rules and regulations, 849 00:33:56,180 --> 00:33:58,050 program to develop the model 850 00:33:58,050 --> 00:34:00,020 where they want to go. So, for example, 851 00:34:00,170 --> 00:34:01,770 when I first moved to Tennessee, 852 00:34:01,770 --> 00:34:04,450 I had a friend who had just retired from teaching. 853 00:34:04,620 --> 00:34:07,710 And so many parents would lobby her 854 00:34:07,820 --> 00:34:11,940 to put her... to say that the children needed Ritalin. 855 00:34:12,200 --> 00:34:14,710 And the reason was, if they got the kids on Ritalin, 856 00:34:14,740 --> 00:34:17,540 they could get a disability payment from Social Security. 857 00:34:17,570 --> 00:34:20,110 It was an overnight transformation at Harvard 858 00:34:20,140 --> 00:34:22,020 because Harvard was cutting edge. 859 00:34:22,420 --> 00:34:24,240 And in psychiatry, we see this 860 00:34:24,240 --> 00:34:26,020 phenomena that the best is the worst. 861 00:34:26,080 --> 00:34:29,600 That the most cutting-edge psychiatry, like Harvard, 862 00:34:29,620 --> 00:34:32,020 to this day, is 863 00:34:32,050 --> 00:34:35,540 the psychiatry that takes the most money from the drug companies 864 00:34:35,680 --> 00:34:38,170 that has the most intimate relationships with 865 00:34:38,170 --> 00:34:39,730 the federal government. 866 00:34:40,000 --> 00:34:42,370 But there'll be someone at a medical school 867 00:34:42,510 --> 00:34:45,340 teaching medical school students, teaching residents, 868 00:34:45,480 --> 00:34:48,970 but pocketing $50,000 or $100,000 a year 869 00:34:49,030 --> 00:34:51,070 for being a consultant to the drug company 870 00:34:51,070 --> 00:34:52,450 and giving talks. 871 00:34:52,450 --> 00:34:54,200 Well, they're not gonna be a consultant 872 00:34:54,220 --> 00:34:57,250 and they're not gonna get paid to give talks unless they are known 873 00:34:57,340 --> 00:35:00,140 to be favorable to that company and its product. 874 00:35:00,140 --> 00:35:02,650 So that there are a number of people 875 00:35:02,710 --> 00:35:04,370 in academic medicine 876 00:35:04,540 --> 00:35:05,850 doing teaching, 877 00:35:05,970 --> 00:35:07,620 being "prestigious" 878 00:35:07,710 --> 00:35:09,020 who are influenced 879 00:35:09,050 --> 00:35:12,420 by the vast amounts of money that they think they need to get 880 00:35:12,540 --> 00:35:14,080 from the drug industry. 881 00:35:14,200 --> 00:35:17,600 For example, at Harvard, it's Joseph Biederman 882 00:35:17,740 --> 00:35:22,770 who personally caused a revolution in the treatment of children 883 00:35:22,770 --> 00:35:25,650 by defining more and more children as bipolar 884 00:35:25,740 --> 00:35:27,850 so that these kids would be given 885 00:35:28,050 --> 00:35:29,710 psychiatric drugs 886 00:35:29,710 --> 00:35:31,570 that were suitable only for adults, 887 00:35:31,570 --> 00:35:34,880 such as Lithium and Abilify and Seroquel. 888 00:35:35,000 --> 00:35:37,000 "Pills, pills, pills for children" 889 00:35:37,110 --> 00:35:38,770 is the theme that comes out of 890 00:35:38,820 --> 00:35:41,080 Harvard's psychopharmacology program. 891 00:35:41,200 --> 00:35:43,650 I blew the whistle on Biederman years ago 892 00:35:43,650 --> 00:35:46,220 as someone getting huge money from the drug companies. 893 00:35:46,220 --> 00:35:50,250 But it took a while for the whistle to reach Washington. 894 00:35:50,250 --> 00:35:53,080 And now there have been hearings. And it's been discovered that 895 00:35:53,110 --> 00:35:56,570 Joseph Biederman was getting a lot more money than he admitted 896 00:35:56,650 --> 00:35:58,370 from the drug companies 897 00:35:58,420 --> 00:36:01,770 to push drugs on America's children. 898 00:36:02,080 --> 00:36:04,220 There was a professor at Harvard 899 00:36:04,280 --> 00:36:07,910 last year who had gotten more than $100,000 900 00:36:08,050 --> 00:36:09,610 in the previous year from the drug industry. 901 00:36:09,620 --> 00:36:12,110 And Harvard instituted a rule that says 902 00:36:12,170 --> 00:36:13,850 you can't be in the faculty 903 00:36:13,880 --> 00:36:15,940 and get that kind of money from the drug industry. 904 00:36:15,940 --> 00:36:18,680 So he said, "I want my $100,000, 905 00:36:18,710 --> 00:36:20,490 so I'm leaving the Harvard faculty." 906 00:36:20,540 --> 00:36:22,820 I went on, to the National Institute of Mental Health, 907 00:36:22,940 --> 00:36:24,370 spent two years there. 908 00:36:24,570 --> 00:36:28,310 And I was there as the transformation was hitting NIMH. 909 00:36:28,440 --> 00:36:31,370 When I arrived, the National Institute of Mental Health 910 00:36:31,370 --> 00:36:38,600 was basically a psychosocially oriented institution in 1966 and '68. 911 00:36:38,970 --> 00:36:42,280 But it was the beginning of the transformation 912 00:36:42,310 --> 00:36:46,250 of NIMH into an arm of the drug companies. 913 00:36:46,370 --> 00:36:47,800 We would later discover 914 00:36:47,850 --> 00:36:51,000 that the drug companies actually had conduits for giving money 915 00:36:51,000 --> 00:36:55,820 to NIMH to do research on the drug companies' drugs. 916 00:36:55,970 --> 00:36:58,060 It's all very, very intimate 917 00:36:58,060 --> 00:36:59,310 and tied together. 918 00:36:59,510 --> 00:37:01,880 The profession was moving hell-bent 919 00:37:01,940 --> 00:37:06,540 to being literally an arm of the drug companies. 920 00:37:06,710 --> 00:37:10,080 Why have regulatory agencies been co-opted 921 00:37:10,080 --> 00:37:13,570 by vested interests that is mostly industry interests? 922 00:37:13,820 --> 00:37:20,620 And that's because the industry is-- is ever-present. 923 00:37:20,820 --> 00:37:22,970 I don't have to document the fact that 924 00:37:22,970 --> 00:37:26,310 industry lobbyists lobby Congress every day 925 00:37:26,400 --> 00:37:30,220 and very powerfully. And they give money to campaigns. 926 00:37:30,400 --> 00:37:35,110 In turn, Congresspeople influence the regulatory Agencies. 927 00:37:35,170 --> 00:37:37,450 I think when you have people that are lobbying 928 00:37:37,450 --> 00:37:40,310 that have a lot of money that they can throw around, 929 00:37:40,510 --> 00:37:42,710 they get face time, and that's important. 930 00:37:42,710 --> 00:37:44,770 They get face time with the decision makers 931 00:37:44,770 --> 00:37:46,080 because they're able to 932 00:37:46,170 --> 00:37:48,210 do certain things from a financial standpoint. 933 00:37:48,220 --> 00:37:52,200 The Congress has seemingly 934 00:37:52,220 --> 00:37:55,220 reflecting the public interest..., although I'm not sure 935 00:37:55,220 --> 00:37:58,480 the public has really weighed in on it. 936 00:37:58,710 --> 00:38:01,740 Deciding to underfund the FDA, 937 00:38:01,820 --> 00:38:06,850 leaving the FDA at the mercy of industry funding 938 00:38:07,000 --> 00:38:12,200 so that companies pay large fees like $1/4 million that... 939 00:38:12,300 --> 00:38:16,620 when I say a fee, I mean a lot of money for the 940 00:38:16,650 --> 00:38:19,450 for the regulator to review its own drug, 941 00:38:19,600 --> 00:38:22,140 which is a bald conflict of interest. 942 00:38:22,310 --> 00:38:25,050 I mean, the drug industry has greatly 943 00:38:25,050 --> 00:38:28,600 replaced the tobacco industry as the most powerful lobby in Washington. 944 00:38:28,620 --> 00:38:30,200 They pretty much get their way. 945 00:38:30,460 --> 00:38:35,450 To a point where the consumer doesn't have much of a chance. 946 00:38:35,740 --> 00:38:40,710 So the power is virtually completely one-sided 947 00:38:40,830 --> 00:38:42,570 on the side of the market. 948 00:38:42,650 --> 00:38:47,280 Anti-regulatory let the doctor do 949 00:38:47,280 --> 00:38:50,140 what the doctor wants to do because the doctor knows best, 950 00:38:50,250 --> 00:38:53,280 when, in fact, there's no way the physician can know what to do 951 00:38:53,280 --> 00:38:55,480 because there's so much knowledge out there 952 00:38:55,600 --> 00:39:00,220 that they're very vulnerable to pressure by industry lobbyists. 953 00:39:00,310 --> 00:39:01,910 So it's in the nature of the beast. 954 00:39:01,910 --> 00:39:05,370 It's in the nature of the growth in knowledge, 955 00:39:05,480 --> 00:39:08,850 the growth in information systems, which can be distorted 956 00:39:08,940 --> 00:39:11,340 by people who stand to earn a lot of money. 957 00:39:11,370 --> 00:39:14,940 Mount Sinai had a prescriber education grant 958 00:39:15,050 --> 00:39:17,310 through the Attorney General of the state of Oregon. 959 00:39:17,400 --> 00:39:18,620 And these grants were funded 960 00:39:18,620 --> 00:39:22,170 to teach physicians about the pharmaceutical industry. 961 00:39:22,250 --> 00:39:25,600 And the money came from a class-action lawsuit on behalf of 962 00:39:25,710 --> 00:39:28,340 Medicaid organizations from a bunch of different states 963 00:39:28,480 --> 00:39:31,680 related to the improper marketing of 964 00:39:31,740 --> 00:39:33,280 Neurontin or Gabapentin, 965 00:39:33,280 --> 00:39:35,800 which is a drug for... used for seizures and pain. 966 00:39:35,800 --> 00:39:38,000 The drug Neurontin was illegally marketed 967 00:39:38,020 --> 00:39:39,140 for unapproved uses, 968 00:39:39,140 --> 00:39:41,620 including treatment for bipolar disorder. 969 00:39:41,650 --> 00:39:43,720 Neurontin has no proven benefits 970 00:39:43,730 --> 00:39:46,100 for this condition, which left those taking this drug 971 00:39:46,110 --> 00:39:47,650 essentially untreated. 972 00:39:47,740 --> 00:39:50,000 And it was found that the company 973 00:39:50,110 --> 00:39:51,940 basically inappropriately marketed. 974 00:39:51,970 --> 00:39:53,680 And they settled with a lot of money. 975 00:39:53,710 --> 00:39:55,910 And part of that money was used to fund educational projects. 976 00:39:56,000 --> 00:39:58,280 So that's how I first became interested in this issue. 977 00:39:58,340 --> 00:40:01,080 As an offshoot of that grant, 978 00:40:01,400 --> 00:40:03,310 we, my colleagues and I, 979 00:40:03,310 --> 00:40:05,820 did a research project looking at the adherence of 980 00:40:05,940 --> 00:40:09,000 print advertisements to FDA guidelines. 981 00:40:09,110 --> 00:40:12,740 The breadth and depth to which companies are involved 982 00:40:12,850 --> 00:40:15,940 in training and education, 983 00:40:16,110 --> 00:40:19,710 and some of it is quite indirect, and some is quite direct. 984 00:40:19,740 --> 00:40:22,170 Yeah, because it supports a lot of academia. 985 00:40:22,170 --> 00:40:26,420 And there have been many, many, many writings on the fact that 986 00:40:26,480 --> 00:40:28,820 physicians have been paid to go to meetings, 987 00:40:28,910 --> 00:40:31,820 have been paid to say certain things at meetings, 988 00:40:31,910 --> 00:40:33,340 to not say certain things at meetings. 989 00:40:33,340 --> 00:40:35,820 I myself have been disinvited from meetings. 990 00:40:35,820 --> 00:40:39,280 There was a study not too long ago of 991 00:40:39,480 --> 00:40:44,050 how companies use the high gross profits from their high prices. 992 00:40:44,220 --> 00:40:47,020 And it included documenting 993 00:40:47,170 --> 00:40:52,050 371,000 professional meetings a year for doctors. 994 00:40:52,170 --> 00:40:55,650 Now there are only 1/2 million doctors who are active in the United States, 995 00:40:55,740 --> 00:40:58,220 so that is an awful lot of meetings. 996 00:40:58,310 --> 00:41:01,820 The branch of the FDA that regulates marketing materials 997 00:41:01,950 --> 00:41:06,710 had a budget in 2008 of $9 million, approximately, 998 00:41:06,720 --> 00:41:09,220 and that compares with the marketing budget 999 00:41:09,250 --> 00:41:11,310 of the pharmaceutical industry in the United States 1000 00:41:11,480 --> 00:41:13,250 is, depending on how you calculate it., 1001 00:41:13,250 --> 00:41:16,110 on the order of $30 billion to $60 billion per year. 1002 00:41:16,170 --> 00:41:20,200 And the stakes are so high and the gross profits are so great 1003 00:41:20,340 --> 00:41:21,660 because American prices 1004 00:41:21,670 --> 00:41:24,740 are by far the highest in the industrialized world. 1005 00:41:24,820 --> 00:41:26,650 So this is big, big business, 1006 00:41:26,740 --> 00:41:30,370 and they just put out a lot of advertising. 1007 00:41:30,420 --> 00:41:32,170 And increasingly so on the web. 1008 00:41:32,170 --> 00:41:34,910 And they have, you know, web banners and sponsored links. 1009 00:41:34,910 --> 00:41:37,220 So the public doesn't know that they're actually 1010 00:41:37,340 --> 00:41:42,000 subsidizing 39% of all the R&D that companies do 1011 00:41:42,140 --> 00:41:46,140 through tax deductions and tax credits and tax subsidies. 1012 00:41:46,400 --> 00:41:50,650 It's our own taxes and our own retirement savings 1013 00:41:50,650 --> 00:41:56,310 which are financing a system which is literally lethal to our health. 1014 00:41:56,620 --> 00:42:01,170 Not to mention another major source, which no one's tried calculating, 1015 00:42:01,310 --> 00:42:03,080 which is the billions of dollars 1016 00:42:03,080 --> 00:42:06,940 that companies accumulate overseas in tax havens 1017 00:42:07,140 --> 00:42:09,310 to avoid paying U.S. tax. 1018 00:42:09,420 --> 00:42:12,850 These are companies that consider themselves very patriotic! 1019 00:42:13,020 --> 00:42:18,370 They evade American taxes by harboring billions of profits abroad. 1020 00:42:18,480 --> 00:42:20,440 And then, every five or six years, 1021 00:42:20,450 --> 00:42:23,420 the business has gotten so large in these tax havens 1022 00:42:23,620 --> 00:42:26,370 that the Congress gives them a tax holiday. 1023 00:42:26,420 --> 00:42:29,820 I once helped a reporter write a wonderful story about 1024 00:42:29,850 --> 00:42:32,450 Novartis, who is the maker of Ritalin, 1025 00:42:32,510 --> 00:42:36,310 and literally how much money their stock would go up 1026 00:42:36,310 --> 00:42:38,330 for every child they got on Ritalin. 1027 00:42:39,640 --> 00:42:41,410 ♪ I am rich 1028 00:42:41,410 --> 00:42:44,040 ♪ beyond belief 1029 00:42:44,050 --> 00:42:47,270 ♪ for this love 1030 00:42:47,280 --> 00:42:50,510 ♪ you have given me. 1031 00:42:50,770 --> 00:42:51,850 There was an idea that 1032 00:42:51,850 --> 00:42:53,880 the new neurotransmitter had been found 1033 00:42:53,880 --> 00:42:55,220 called Serotonin. 1034 00:42:55,340 --> 00:42:57,480 So Eli Lilly immediately went 1035 00:42:57,620 --> 00:42:59,960 to study rats to find a pill 1036 00:42:59,960 --> 00:43:02,480 that would do something -- change, 1037 00:43:02,570 --> 00:43:04,450 that is -- cause a defect 1038 00:43:04,620 --> 00:43:06,770 in the neurotransmitter system 1039 00:43:06,880 --> 00:43:08,830 so that it could be claimed to fix it! 1040 00:43:09,600 --> 00:43:11,710 And they came up with Prozac, 1041 00:43:11,820 --> 00:43:16,000 which blocks the effective functioning of the system 1042 00:43:16,240 --> 00:43:19,280 by stopping the removal of Serotonin 1043 00:43:19,280 --> 00:43:21,650 from its active place in the brain 1044 00:43:21,850 --> 00:43:24,970 and flooding the brain with it. 1045 00:43:25,370 --> 00:43:27,770 They found quickly that Prozac 1046 00:43:27,770 --> 00:43:30,480 caused so much agitation in patients 1047 00:43:30,480 --> 00:43:33,250 that they had to give the patients tranquilizers, 1048 00:43:33,280 --> 00:43:35,280 or they'd drop out of the studies. 1049 00:43:35,530 --> 00:43:39,220 Well, when it came down to approving the drug, 1050 00:43:40,200 --> 00:43:43,340 they couldn't find a beneficial effect 1051 00:43:43,400 --> 00:43:46,450 unless they included the tranquilized patients. 1052 00:43:46,710 --> 00:43:50,800 So the FDA forgave Eli Lilly for cheating 1053 00:43:51,370 --> 00:43:54,740 and approved Eli Lilly's drug Prozac 1054 00:43:54,810 --> 00:43:57,340 when they really were approving -- they didn't tell anybody this -- 1055 00:43:57,420 --> 00:43:59,950 really approving Prozac 1056 00:43:59,950 --> 00:44:05,710 with its agitation covered over by addictive tranquilizing drugs. 1057 00:44:06,000 --> 00:44:12,170 So, as the medical expert, we finally had our first trial. 1058 00:44:12,510 --> 00:44:14,080 Now, I wondered why... 1059 00:44:14,080 --> 00:44:17,450 why would this be the first trial that we would bring out of 150. 1060 00:44:17,450 --> 00:44:19,050 Because it was a very difficult case. 1061 00:44:19,170 --> 00:44:21,340 This man, Joseph Wesbecker, 1062 00:44:21,510 --> 00:44:24,140 had been paranoid and hateful, 1063 00:44:24,140 --> 00:44:26,910 threatening toward people at work before he was put on Prozac. 1064 00:44:26,940 --> 00:44:28,310 That's not the best case. 1065 00:44:28,450 --> 00:44:30,050 But when he was put on Prozac, 1066 00:44:30,140 --> 00:44:31,910 within days he got psychotic, 1067 00:44:32,080 --> 00:44:34,770 and he killed a dozen people, 1068 00:44:34,770 --> 00:44:37,570 injured 20 at his place of work. 1069 00:44:37,570 --> 00:44:40,190 So I was gonna testify that it 1070 00:44:40,190 --> 00:44:42,360 wasn't that Prozac just caused this, 1071 00:44:42,360 --> 00:44:43,650 but Prozac tipped him over. 1072 00:44:43,680 --> 00:44:46,230 Well, I get ready to have the trial, 1073 00:44:46,230 --> 00:44:50,740 and my... the lawyer on our side isn't preparing me. 1074 00:44:50,910 --> 00:44:53,330 He's not sending me anymore materials. 1075 00:44:53,680 --> 00:44:55,400 I arrive in Louisville, 1076 00:44:55,480 --> 00:44:58,010 and the lawyer for our side, who's suing Lilly, 1077 00:44:58,010 --> 00:44:59,940 is hiding documents from me. 1078 00:45:00,280 --> 00:45:02,770 I was thrown on the stand with no preparation. 1079 00:45:02,910 --> 00:45:06,510 I gave the lawyer 20 or 30 note cards 1080 00:45:06,510 --> 00:45:09,710 before I went on the stand and said, "You've got to ask me these questions." 1081 00:45:09,880 --> 00:45:11,280 He got mad at me. 1082 00:45:11,620 --> 00:45:15,020 Well, it was very hard to testify under those conditions. 1083 00:45:15,080 --> 00:45:17,310 As it was, Lilly almost lost the case. 1084 00:45:17,310 --> 00:45:20,770 It was a 9-3 vote, which allowed them to win. 1085 00:45:20,770 --> 00:45:23,480 One more vote against them and they would have lost. 1086 00:45:23,740 --> 00:45:26,400 Big headlines: "Lilly wins its case." 1087 00:45:27,080 --> 00:45:29,470 And all the other lawyers started to settle 1088 00:45:29,470 --> 00:45:31,510 from the 150 or more other cases. 1089 00:45:32,110 --> 00:45:37,340 Well, the judge figured out that this trial had been fixed. 1090 00:45:37,790 --> 00:45:41,650 He called together Eli Lilly and 1091 00:45:41,820 --> 00:45:44,740 Mr. Smith, who was the lawyer for the plaintiffs, 1092 00:45:44,740 --> 00:45:47,510 and said that, “What did you guys do?" 1093 00:45:47,570 --> 00:45:49,910 And they said, "It's none of your business." 1094 00:45:50,110 --> 00:45:55,310 So now the judge is up against both parties on the trial. 1095 00:45:55,620 --> 00:45:58,420 So the judge investigates and he finds out 1096 00:45:58,620 --> 00:46:00,970 that our side was indeed paid off 1097 00:46:01,000 --> 00:46:04,200 in order to present a weak case so Lilly could win. 1098 00:46:04,400 --> 00:46:06,340 And our side tried to discredit me in court! 1099 00:46:06,340 --> 00:46:08,650 My own side tried to discredit me in court 1100 00:46:08,710 --> 00:46:10,560 because Lilly needed to win the case. 1101 00:46:10,570 --> 00:46:12,650 And they needed to discredit Peter Breggin 1102 00:46:12,800 --> 00:46:15,740 because I was their only real opposition in the world. 1103 00:46:46,820 --> 00:46:49,620 ♪ I need a bailout 1104 00:46:49,620 --> 00:46:52,590 ♪ just like Citigroup 1105 00:46:52,590 --> 00:46:57,190 ♪ I need a bailout 1106 00:46:57,200 --> 00:46:59,830 ♪ don't forget AIG, 1107 00:46:59,840 --> 00:47:02,700 ♪ Goldman Sachs 1108 00:47:02,700 --> 00:47:04,600 ♪ I need a bailout 1109 00:47:04,600 --> 00:47:07,470 ♪ what about the big three? 1110 00:47:07,470 --> 00:47:12,210 ♪ I need a bailout 1111 00:47:12,210 --> 00:47:14,940 ♪ it all ends with just me 1112 00:47:14,950 --> 00:47:19,580 ♪ I need a bailout 1113 00:47:19,590 --> 00:47:22,750 ♪ just like Citigroup 1114 00:47:22,750 --> 00:47:27,320 ♪ I need a bailout 1115 00:47:27,330 --> 00:47:30,260 ♪ don't forget AIG, 1116 00:47:30,270 --> 00:47:32,930 ♪ Goldman Sachs 1117 00:47:32,930 --> 00:47:34,790 ♪ I need a bailout 1118 00:47:34,800 --> 00:47:35,670 ♪ bailout, bailout, bailout 1119 00:47:35,670 --> 00:47:38,440 ♪ bailout, bailout... 1120 00:47:41,940 --> 00:47:43,850 Some doctors, including myself, 1121 00:47:43,880 --> 00:47:46,050 get frustrated with the FDA sometimes. 1122 00:47:46,050 --> 00:47:48,480 Because there are medications that work well 1123 00:47:48,570 --> 00:47:51,320 in Europe and other countries that have been out for years, 1124 00:47:51,320 --> 00:47:54,570 but it takes another 10, 12 years to get approved in this country. 1125 00:47:54,600 --> 00:47:57,400 So, in many ways, they're very careful, 1126 00:47:57,420 --> 00:47:59,110 and the process is very slow. 1127 00:47:59,220 --> 00:48:02,420 But in other situations, certain drugs are fast tracked. 1128 00:48:02,510 --> 00:48:05,710 So when you--when you look at situations like Fen-phen, 1129 00:48:05,740 --> 00:48:07,960 a drug that was really popular in the '90s for weight loss, 1130 00:48:08,050 --> 00:48:10,560 people--a lot of people died from that drug. 1131 00:48:10,570 --> 00:48:12,280 A lot of people are still alive now 1132 00:48:12,370 --> 00:48:14,000 that are having long-term 1133 00:48:14,080 --> 00:48:17,340 heart problems from that-- from that drug combination. 1134 00:48:17,570 --> 00:48:20,540 They knew before that drug was released that there was a problem. 1135 00:48:20,540 --> 00:48:23,850 People in that particular company knew. 1136 00:48:24,000 --> 00:48:25,820 Information was suppressed 1137 00:48:25,940 --> 00:48:29,680 because when you go through R&D, (Research and Development), 1138 00:48:29,820 --> 00:48:33,280 to get a drug brought to market, it could take several years. 1139 00:48:33,340 --> 00:48:36,110 Tens of millions of dollars are spent doing this process. 1140 00:48:36,140 --> 00:48:39,340 So when that drug gets ready to be released by the FDA, 1141 00:48:39,480 --> 00:48:42,250 it is a big deal if it does not get released 1142 00:48:42,280 --> 00:48:44,910 because they've already spent a lot of money. 1143 00:48:44,940 --> 00:48:48,340 And remember, pharmaceutical companies are for profit. 1144 00:48:48,370 --> 00:48:52,480 They're not non-profit, good, you know, touchy-feely corporations. 1145 00:48:52,480 --> 00:48:54,080 They are trying to make money. 1146 00:48:54,220 --> 00:48:55,570 I remember I told my son, 1147 00:48:55,680 --> 00:48:58,380 "Do you realize what you're doing to yourself?" 1148 00:48:59,550 --> 00:49:03,050 "Mom, you know, I-- these-- they got 'em from a doctor. 1149 00:49:03,050 --> 00:49:05,280 A doctor's not gonna give you anything bad." 1150 00:49:05,970 --> 00:49:07,770 So I don't know if they have it in their head of, 1151 00:49:07,770 --> 00:49:09,480 "Okay, well, I'm not buying it on the street. 1152 00:49:09,510 --> 00:49:11,600 I'm not buying it from the drug dealer on the corner. 1153 00:49:11,710 --> 00:49:15,570 I'm not buying it from-- you know, in an alley somewhere. 1154 00:49:15,570 --> 00:49:18,820 I'm going into a doctor's office. And I'm buying medication. 1155 00:49:19,980 --> 00:49:21,170 And it's fine. 1156 00:49:21,170 --> 00:49:23,200 Why would he give me something that's gonna hurt me?" 1157 00:49:23,400 --> 00:49:25,310 The Food and Drug Administration 1158 00:49:25,370 --> 00:49:28,000 became responsible for 1159 00:49:28,170 --> 00:49:31,650 certifying drugs as being safe 1160 00:49:32,220 --> 00:49:36,250 and then, eventually, for being safe and effective. 1161 00:49:36,370 --> 00:49:38,060 Which means that no drug-- 1162 00:49:38,060 --> 00:49:40,680 no prescription drug, no any kind of medical drug 1163 00:49:40,710 --> 00:49:43,340 can be licensed for public use in the United States 1164 00:49:43,480 --> 00:49:46,970 without the prior approval of the FDA. 1165 00:49:47,050 --> 00:49:51,170 Now that's a very strong piece to have on the board, 1166 00:49:51,170 --> 00:49:53,080 a very strong position to have. 1167 00:49:53,220 --> 00:49:57,480 The FDA has built up in strength and depth 1168 00:49:57,910 --> 00:50:00,620 each time around a drug disaster where 1169 00:50:00,620 --> 00:50:04,050 a manufacturer has put a really dangerous drug out there 1170 00:50:04,170 --> 00:50:05,820 and not withdrawn it quickly. 1171 00:50:05,820 --> 00:50:08,820 And that's led to congressional investigations and then 1172 00:50:08,970 --> 00:50:11,250 a ramping up of the regulatory body. 1173 00:50:11,340 --> 00:50:13,970 I think, at some times in its history, 1174 00:50:13,970 --> 00:50:17,740 the FDA has been very important 1175 00:50:17,770 --> 00:50:21,540 in the regulation and monitoring of medications in the country. 1176 00:50:21,710 --> 00:50:23,970 Unfortunately, it, too, has been 1177 00:50:23,970 --> 00:50:25,310 co-opted by the industry, 1178 00:50:25,310 --> 00:50:28,820 has been happening gradually over the last 20 year-- 1179 00:50:29,170 --> 00:50:30,740 really, over 30 years. 1180 00:50:30,820 --> 00:50:32,420 A lot of times you have drugs that, 1181 00:50:32,600 --> 00:50:34,620 maybe, shouldn't even be on the market at all, 1182 00:50:34,710 --> 00:50:36,050 get put on the market. 1183 00:50:36,140 --> 00:50:38,200 And people start dying. 1184 00:50:38,280 --> 00:50:39,650 And people start having side effects. 1185 00:50:39,680 --> 00:50:42,020 But nothing really happens until at least 1186 00:50:42,220 --> 00:50:44,170 they've recouped money, made a profit. 1187 00:50:44,170 --> 00:50:46,920 Then the FDA comes riding in on a white horse and 1188 00:50:46,930 --> 00:50:48,850 pulls the very same drug 1189 00:50:48,970 --> 00:50:51,370 that should never have been on the market in the first place, 1190 00:50:51,400 --> 00:50:52,370 off the market. 1191 00:50:52,480 --> 00:50:54,250 The problem is that, 1192 00:50:54,250 --> 00:50:59,600 whenever a government agency monitors an outside activity, 1193 00:50:59,710 --> 00:51:02,480 it is eventually bought and controlled 1194 00:51:02,570 --> 00:51:04,820 by that which it monitors. 1195 00:51:04,940 --> 00:51:06,800 So I think there are a lot of 1196 00:51:06,850 --> 00:51:09,340 very hardworking, conscientious, 1197 00:51:09,350 --> 00:51:11,510 highly trained people at the FDA, 1198 00:51:11,540 --> 00:51:13,220 especially the reviewers, 1199 00:51:13,310 --> 00:51:15,820 who are great public servants. 1200 00:51:16,060 --> 00:51:18,990 One pattern that we have found 1201 00:51:18,990 --> 00:51:21,340 in recent times (but goes back 1202 00:51:21,420 --> 00:51:24,880 to the '70s, I've found), is: 1203 00:51:25,020 --> 00:51:28,540 senior management overriding 1204 00:51:29,110 --> 00:51:32,170 worries and warnings by their own reviewers, 1205 00:51:32,180 --> 00:51:35,310 basically approving a drug that 1206 00:51:35,370 --> 00:51:37,850 their own reviewers say should not be approved 1207 00:51:37,850 --> 00:51:40,110 because it's too dangerous to go onto the market. 1208 00:51:40,310 --> 00:51:41,740 It's somewhat difficult 1209 00:51:41,740 --> 00:51:44,220 for the FDA to get physicians because 1210 00:51:44,340 --> 00:51:46,540 they do not pay anywhere near as much as 1211 00:51:46,540 --> 00:51:49,570 most physicians would make in an academic medical center 1212 00:51:49,570 --> 00:51:52,200 or, certainly, as they would make in the drug industry. 1213 00:51:52,220 --> 00:51:55,050 They get doctors and there are a lot of very dedicated 1214 00:51:55,080 --> 00:51:56,740 physicians at the FDA. 1215 00:51:56,940 --> 00:51:59,200 But, frequently, the most dedicated ones 1216 00:51:59,310 --> 00:52:01,250 are driven out because 1217 00:52:01,400 --> 00:52:05,080 their decisions about the dangers of drugs are overturned. 1218 00:52:05,080 --> 00:52:09,000 We did a study of physicians at the FDA in 1998. 1219 00:52:09,170 --> 00:52:12,370 Between them, they cited 27 instances 1220 00:52:12,420 --> 00:52:15,770 in which, a drug that they thought was too dangerous to be approved 1221 00:52:15,880 --> 00:52:18,420 was approved over their head, got on the market. 1222 00:52:18,510 --> 00:52:21,880 And in many cases, the drugs have now been taken off the market. 1223 00:52:21,910 --> 00:52:24,420 So if you are going into the government, 1224 00:52:24,540 --> 00:52:27,820 wanting to engage in public health service, 1225 00:52:27,940 --> 00:52:30,340 being willing to take a lower salary, 1226 00:52:30,450 --> 00:52:33,200 and yet you're being thwarted from your public health mission 1227 00:52:33,220 --> 00:52:36,710 because your bosses are overturning you, partly because 1228 00:52:36,820 --> 00:52:39,280 they don't want to displease the drug industry. 1229 00:52:39,420 --> 00:52:41,600 It's not a very welcome atmosphere! 1230 00:52:41,850 --> 00:52:45,220 And so tremendous pharmaceutical company influence 1231 00:52:45,220 --> 00:52:47,650 has been exerted on the FDA 1232 00:52:47,880 --> 00:52:52,050 to approve drugs manufactured by these companies 1233 00:52:52,050 --> 00:52:54,110 as safe and effective, naturally. 1234 00:52:54,170 --> 00:52:56,680 The rhetoric of the industry is: 1235 00:52:56,970 --> 00:53:00,570 "We need to do everything we can to get life-saving drugs 1236 00:53:00,650 --> 00:53:04,170 to patients who need them as quickly as possible." 1237 00:53:04,310 --> 00:53:06,480 And that rhetoric prevails. 1238 00:53:06,510 --> 00:53:09,050 That's what congressmen believe 1239 00:53:09,050 --> 00:53:11,310 and journalists believe and so forth. 1240 00:53:11,340 --> 00:53:13,170 The reality is the following: 1241 00:53:13,250 --> 00:53:17,600 that several independent review bodies 1242 00:53:17,600 --> 00:53:22,310 find that 5 out of 6 new drugs, about 85% of new drugs, 1243 00:53:22,420 --> 00:53:25,250 are little or no better than existing drugs 1244 00:53:25,420 --> 00:53:27,340 against clinical measures. 1245 00:53:27,400 --> 00:53:28,850 They can't be life-saving 1246 00:53:28,880 --> 00:53:31,570 because they're no... they're little or no better. 1247 00:53:31,850 --> 00:53:36,340 And a few years ago the industry was successful in 1248 00:53:36,710 --> 00:53:40,400 getting the time to review of medications reduced 1249 00:53:40,420 --> 00:53:44,280 so that the FDA could go through its review process more quickly. 1250 00:53:44,650 --> 00:53:46,600 And that's been associated with 1251 00:53:46,600 --> 00:53:50,170 a much higher rate of approval of drugs, 1252 00:53:50,220 --> 00:53:53,200 a much higher rate of approval of dangerous drugs. 1253 00:53:53,340 --> 00:53:55,620 The Vioxx disaster led 1254 00:53:55,710 --> 00:53:57,740 the FDA and Congress 1255 00:53:57,850 --> 00:54:00,820 and leading policy researchers to 1256 00:54:00,940 --> 00:54:05,450 become very seriously concerned about how unsafe drugs were. 1257 00:54:05,570 --> 00:54:08,250 Vioxx is a drug made by Merck 1258 00:54:08,360 --> 00:54:11,510 that was touted as being gentler on the stomach. 1259 00:54:11,510 --> 00:54:12,650 It's a painkiller. 1260 00:54:12,940 --> 00:54:18,740 And in their effort to prove that it was gentle on the stomach, 1261 00:54:18,910 --> 00:54:21,170 the company, Merck, did a study. 1262 00:54:21,340 --> 00:54:23,220 Half the people got Vioxx 1263 00:54:23,280 --> 00:54:26,680 and half of them got another painkiller, Naproxen, 1264 00:54:26,680 --> 00:54:28,600 which has been on the market for a long time. 1265 00:54:28,740 --> 00:54:32,110 The people that got Vioxx had four times more heart attacks 1266 00:54:32,220 --> 00:54:34,250 than the people that got Naproxen. 1267 00:54:34,390 --> 00:54:37,000 When that study was published, we looked at the study. 1268 00:54:37,020 --> 00:54:39,250 It was published in November of 2000. 1269 00:54:39,250 --> 00:54:42,400 It was no more effective as a painkiller than a lot of other drugs 1270 00:54:42,450 --> 00:54:44,190 that didn't cause heart attacks. 1271 00:54:44,280 --> 00:54:46,880 It took the FDA several years 1272 00:54:46,880 --> 00:54:48,590 and yet another study showing 1273 00:54:48,600 --> 00:54:49,970 that it caused heart attacks to 1274 00:54:50,080 --> 00:54:52,050 get the drug taken off the market. 1275 00:54:52,310 --> 00:54:54,880 Merck pushed the FDA all over the place 1276 00:54:54,910 --> 00:54:57,340 to the point where they didn't even put an adequate warning, 1277 00:54:57,370 --> 00:54:59,170 let alone take it off the market. 1278 00:54:59,400 --> 00:55:03,820 And it starts with something the FDA is not attending to: 1279 00:55:03,850 --> 00:55:07,080 having companies test their own products. 1280 00:55:07,340 --> 00:55:10,480 And they naturally want to design those tests 1281 00:55:10,510 --> 00:55:13,450 to minimize evidence of harmful side effects 1282 00:55:13,480 --> 00:55:16,140 and maximize evidence of benefits 1283 00:55:16,250 --> 00:55:17,790 so their drugs will be approved. 1284 00:55:17,940 --> 00:55:19,400 It's quite clear that 1285 00:55:19,480 --> 00:55:21,800 clinical trials that are sponsored by industry 1286 00:55:22,000 --> 00:55:24,080 are far more likely to be positive, 1287 00:55:24,110 --> 00:55:25,800 to sort of find that the drug works, 1288 00:55:25,820 --> 00:55:28,110 as compared with publicly funded studies 1289 00:55:28,110 --> 00:55:32,910 that are funded by the national institutes of health or non-profit foundations. 1290 00:55:32,940 --> 00:55:37,110 Those trials not only are misleading in their results, 1291 00:55:37,110 --> 00:55:40,340 and therefore mislead the review process, 1292 00:55:40,510 --> 00:55:43,450 but they don't provide useful information to clinicians 1293 00:55:43,450 --> 00:55:44,820 on how to use the drug. 1294 00:55:44,880 --> 00:55:48,420 When these so-called drugs 1295 00:55:48,450 --> 00:55:51,850 are approved on the basis of their randomized control trial, 1296 00:55:51,850 --> 00:55:54,540 they're used in practice without any accountability. 1297 00:55:54,540 --> 00:55:56,940 There is no information system 1298 00:55:57,050 --> 00:55:59,110 that systematically looks for 1299 00:55:59,200 --> 00:56:02,970 the impact of these approved medications on people's health. 1300 00:56:03,080 --> 00:56:04,050 So we're not looking. 1301 00:56:04,050 --> 00:56:07,740 We're not holding ourselves accountable for what we're prescribing 1302 00:56:07,740 --> 00:56:09,280 in the field of medical care. 1303 00:56:09,340 --> 00:56:10,540 You have lobbyists. 1304 00:56:10,710 --> 00:56:12,960 You have people who work for the FDA 1305 00:56:12,970 --> 00:56:15,600 who eventually go to work for the pharmaceutical companies. 1306 00:56:15,740 --> 00:56:18,540 And some of them come back and work for the FDA, 1307 00:56:18,650 --> 00:56:20,000 then move on to being 1308 00:56:20,020 --> 00:56:22,510 a vice president of, perhaps, 1309 00:56:22,510 --> 00:56:26,140 Regulatory Affairs at a drug company. 1310 00:56:26,740 --> 00:56:29,850 Perfect position for a regulator to go to, 1311 00:56:29,850 --> 00:56:31,170 from the company's point of view, 1312 00:56:31,170 --> 00:56:35,080 knows all the inside byways and highways. 1313 00:56:35,250 --> 00:56:38,370 Increasingly, particularly since 1992, 1314 00:56:38,510 --> 00:56:41,000 most of the funding for reviewing drugs 1315 00:56:41,000 --> 00:56:45,400 comes directly in cash payments from the drug industry to the FDA. 1316 00:56:45,480 --> 00:56:49,280 It's a massive and almost ludicrous conflict of interest. 1317 00:56:49,370 --> 00:56:52,310 But it's one that was passed by Congress 1318 00:56:52,370 --> 00:56:54,320 as a way of balancing the budget. 1319 00:56:54,510 --> 00:56:59,480 They pay upwards of $800,000, $900,000 per drug. 1320 00:56:59,540 --> 00:57:02,880 They have to pay the money whether the FDA approves the drug or not. 1321 00:57:02,970 --> 00:57:05,050 But it creates a whole attitude, 1322 00:57:05,080 --> 00:57:08,710 a different attitude than used to exist before 1992 1323 00:57:08,880 --> 00:57:12,770 as to how much policing the FDA has done. 1324 00:57:12,880 --> 00:57:15,940 That inevitably is going to mean 1325 00:57:15,940 --> 00:57:18,940 that the FDA process is going to change 1326 00:57:18,940 --> 00:57:20,340 because of the money that they get: 1327 00:57:20,370 --> 00:57:23,880 the size of the people who are working in the FDA 1328 00:57:23,880 --> 00:57:29,850 on moving the approval of drugs forward. 1329 00:57:29,940 --> 00:57:31,250 There are more people doing that, 1330 00:57:31,250 --> 00:57:33,650 and you have less people who are involved in 1331 00:57:33,770 --> 00:57:38,030 monitoring marketing practices of drug companies, 1332 00:57:38,030 --> 00:57:40,250 who are monitoring drug safety. 1333 00:57:40,400 --> 00:57:44,020 Basically, companies through their lobbying, 1334 00:57:44,020 --> 00:57:49,000 got Congress to agree that they would pay for the FDA. 1335 00:57:49,770 --> 00:57:51,650 They get quicker approvals. 1336 00:57:51,680 --> 00:57:55,250 That means they make billions more in revenues and profits. 1337 00:57:55,340 --> 00:57:59,200 And in return, more people get seriously ill, hospitalized, and die. 1338 00:57:59,310 --> 00:58:01,940 Because we've increased the number of drugs, 1339 00:58:02,080 --> 00:58:05,850 we've increased the adverse event rates from drugs 1340 00:58:05,880 --> 00:58:08,170 four times than we've increased the prescription rate. 1341 00:58:08,170 --> 00:58:11,170 So that the adverse event rate -- event rates for medications -- 1342 00:58:11,250 --> 00:58:13,400 are getting bigger and not smaller. 1343 00:58:13,480 --> 00:58:16,420 And for some medications, we've increased the adverse event rates 1344 00:58:16,450 --> 00:58:18,910 16 times what it was ten years ago. 1345 00:58:19,050 --> 00:58:22,420 So there's no question in my mind that the evidence shows 1346 00:58:22,600 --> 00:58:25,540 -- strong evidence -- that adverse events 1347 00:58:25,540 --> 00:58:28,450 from medications are the fourth leading cause of death. 1348 00:58:33,520 --> 00:58:34,880 I wrote an article 1349 00:58:34,910 --> 00:58:38,250 in the Journal of the American Medical Association ten years ago. 1350 00:58:38,250 --> 00:58:42,820 Interestingly enough, the article was originally submitted to another journal, 1351 00:58:42,940 --> 00:58:46,480 a very high-level, premier journal, which rejected it 1352 00:58:46,800 --> 00:58:49,570 on the grounds that nobody would be interested in it. 1353 00:58:50,600 --> 00:58:53,510 It was an article that documented the fact 1354 00:58:53,570 --> 00:58:56,600 that the United States ranked very poorly on health levels 1355 00:58:56,710 --> 00:58:59,340 with regard to other comparable countries -- 1356 00:59:00,000 --> 00:59:02,510 industrialized countries in the world. 1357 00:59:02,620 --> 00:59:04,310 And it also documented the fact 1358 00:59:04,310 --> 00:59:07,480 that we had a very high rate of adverse events 1359 00:59:07,710 --> 00:59:12,310 from the use of various interventions in the health care field. 1360 00:59:12,540 --> 00:59:15,420 And since that article was published 11 years ago, 1361 00:59:15,450 --> 00:59:19,080 I have continued to get requests for reprints. 1362 00:59:19,080 --> 00:59:23,200 I still get about five requests for reprints every week. 1363 00:59:23,370 --> 00:59:26,340 The article has gotten a lot of attention, 1364 00:59:26,450 --> 00:59:28,880 mostly, I think, from laypeople. 1365 00:59:29,570 --> 00:59:32,480 Almost no attention from government. 1366 00:59:32,650 --> 00:59:36,020 I have never been contacted by the FDA to 1367 00:59:36,200 --> 00:59:40,110 explain what I've done or to explore the ramifications. 1368 00:59:40,770 --> 00:59:43,650 And I think that's because 1369 00:59:43,930 --> 00:59:46,110 people don't like to know 1370 00:59:46,250 --> 00:59:48,680 that medications can be harmful 1371 00:59:48,910 --> 00:59:52,310 and that they, in fact, may account at least in part 1372 00:59:52,310 --> 00:59:55,340 for the fact that we don't do very well internationally 1373 00:59:55,540 --> 00:59:57,370 in our health levels. 1374 00:59:57,540 --> 01:00:01,670 So how is the cartel going to present itself as, really, 1375 01:00:01,970 --> 01:00:06,600 the one and only solution to the problem of illness? 1376 01:00:07,220 --> 01:00:08,310 Through media. 1377 01:00:08,420 --> 01:00:11,970 Could you imagine a society where people advertised, 1378 01:00:11,970 --> 01:00:14,250 you know, heroin on television? 1379 01:00:14,280 --> 01:00:17,620 You know, "I got blue magic, Da da da da da. 1380 01:00:17,620 --> 01:00:20,710 Call this number or, you know, this website." You know, like... 1381 01:00:20,850 --> 01:00:23,540 That's funny, because you couldn't imagine that. 1382 01:00:23,540 --> 01:00:26,880 But you now have pharmaceutical companies selling drugs 1383 01:00:27,050 --> 01:00:30,620 through commercials on television, billboards, and such. 1384 01:00:30,650 --> 01:00:33,370 The United States is one of very few countries in the world 1385 01:00:33,480 --> 01:00:36,400 in which direct-to-consumer advertising is legal. 1386 01:00:36,600 --> 01:00:39,800 And it's considered a free speech right in the U.S.. 1387 01:00:39,820 --> 01:00:42,050 And it's protected as a free speech right here. 1388 01:00:42,050 --> 01:00:46,220 Proponents of direct-to-consumer advertising say that it helps 1389 01:00:46,220 --> 01:00:48,570 facilitate communication between doctors and patients, 1390 01:00:48,570 --> 01:00:50,620 that it informs patients of things and 1391 01:00:50,680 --> 01:00:53,220 sort of helps them to be able to talk about them with their doctors. 1392 01:00:53,310 --> 01:00:55,570 And there actually is some evidence that that's true. 1393 01:00:55,710 --> 01:00:57,940 There's also evidence that it-- 1394 01:00:58,110 --> 01:01:01,940 it increases prescribing of advertised drugs. And, obviously, 1395 01:01:02,080 --> 01:01:04,600 you know, the pharmaceutical industry are pretty smart, 1396 01:01:04,620 --> 01:01:05,910 and they wouldn't do it if it didn't work. 1397 01:01:05,910 --> 01:01:07,620 There's no counterbalance to that. 1398 01:01:07,620 --> 01:01:10,740 So, in other words, when a person is watching television 1399 01:01:10,770 --> 01:01:12,450 and they see this ad comes on, 1400 01:01:12,450 --> 01:01:15,480 and they say, "Are you not getting enough sleep at night? 1401 01:01:15,480 --> 01:01:17,510 Are you restless? Are you anxious? 1402 01:01:17,510 --> 01:01:19,510 You having problems in the bedroom?" 1403 01:01:19,910 --> 01:01:22,370 Almost anybody watching these commercials 1404 01:01:22,370 --> 01:01:25,510 can relate to some of these problems at some point in time. And then... 1405 01:01:25,570 --> 01:01:28,280 all the while it's just beautiful commercials rolling, 1406 01:01:28,280 --> 01:01:32,880 people in slow motion frolicking through the forest, holding hands, 1407 01:01:32,940 --> 01:01:35,510 beautiful music, you have a guy reading 1408 01:01:35,600 --> 01:01:38,220 in a very low voice of all the potential side effects. 1409 01:01:38,280 --> 01:01:40,770 But our visual -- there's a visual disconnect. 1410 01:01:40,770 --> 01:01:44,770 We have the side effects being read really low volume and fast. 1411 01:01:44,770 --> 01:01:48,310 And you have the people that look like they're just enjoying their life. 1412 01:01:48,400 --> 01:01:50,340 And you have people that end up 1413 01:01:50,340 --> 01:01:52,880 going to their doctor's based on a commercial, 1414 01:01:52,880 --> 01:01:55,080 asking for a pill. -- "Call your doctor if you have high fever, 1415 01:01:55,080 --> 01:01:58,650 stiff muscles, and confusion to address a possible life-threatening condition. 1416 01:01:58,710 --> 01:02:00,740 Or if you have uncontrollable muscle movements 1417 01:02:00,740 --> 01:02:02,420 as these could become permanent, 1418 01:02:02,450 --> 01:02:05,600 High blood sugar has been reported with Abilify and medicines like it. 1419 01:02:05,680 --> 01:02:09,170 In some cases, extreme high blood sugar can lead to coma or death. 1420 01:02:09,170 --> 01:02:10,820 Other risks include decreases..." 1421 01:02:10,850 --> 01:02:14,370 The FDA guidelines are kind of legalistic. 1422 01:02:14,480 --> 01:02:16,310 But they're also very, very vague. 1423 01:02:16,340 --> 01:02:19,940 So they don't particularly mandate the presence of important information, 1424 01:02:19,970 --> 01:02:24,250 they just mandate the absence of overtly misleading information. 1425 01:02:24,450 --> 01:02:27,420 Because the FDA is so unable to 1426 01:02:27,480 --> 01:02:29,880 look at all of the marketing materials that are out there, 1427 01:02:29,940 --> 01:02:31,370 we felt it was important to look at 1428 01:02:31,370 --> 01:02:33,850 the adherence of materials to their guidelines. 1429 01:02:33,850 --> 01:02:37,220 So what we found in the case of consumer-directed ads 1430 01:02:37,370 --> 01:02:42,400 is that relatively few of the ads were clearly adherent. 1431 01:02:42,510 --> 01:02:45,740 But, most of the time, that was because of incomplete information. 1432 01:02:45,820 --> 01:02:48,370 They're just was not the information present in the ad 1433 01:02:48,450 --> 01:02:51,310 for us to even assess the adherence to the FDA guidelines. 1434 01:02:51,310 --> 01:02:55,250 We also found that over 1/4 of the drugs that were advertised 1435 01:02:55,250 --> 01:02:59,450 in our sample had a black box warning from the FDA. 1436 01:02:59,510 --> 01:03:02,450 So a black box warning is an indication from the FDA 1437 01:03:02,510 --> 01:03:04,420 that a drug is particularly dangerous. 1438 01:03:04,420 --> 01:03:07,110 If you are prescribed a drug, and you get the package's insert, 1439 01:03:07,110 --> 01:03:11,280 you'll actually see a warning in bold letters in a black rectangle. 1440 01:03:11,650 --> 01:03:14,820 Well, how do I feel about the way this country has gone 1441 01:03:14,880 --> 01:03:17,650 over the... my professional lifetime? 1442 01:03:18,170 --> 01:03:23,850 The fact that it's falling further and further behind in population health. 1443 01:03:23,850 --> 01:03:26,280 It's falling further and further behind 1444 01:03:26,280 --> 01:03:29,910 in people's satisfaction with the health care system. 1445 01:03:29,940 --> 01:03:34,420 It's going further and further behind in terms of cost control 1446 01:03:34,770 --> 01:03:39,910 and, in general, just simply not keeping up with the necessary changes. 1447 01:03:40,140 --> 01:03:44,000 It's very disappointing. And it makes me very unhappy. 1448 01:03:44,000 --> 01:03:50,680 Both from a professional point of view as well as from a personal point of view. 1449 01:03:50,880 --> 01:03:54,420 I know that probably ever since 1450 01:03:54,480 --> 01:03:58,910 I started writing about primary care, which was in the early 1990s, 1451 01:03:59,020 --> 01:04:01,600 I have been deliberately shut out of 1452 01:04:01,600 --> 01:04:06,400 policy making groups and consultancies. 1453 01:04:07,110 --> 01:04:09,700 And basically the only thing that keeps me going 1454 01:04:09,710 --> 01:04:13,680 is the fact that I am well regarded scientifically and professionally. 1455 01:04:13,770 --> 01:04:15,200 I think no one 1456 01:04:15,280 --> 01:04:18,570 has ever mounted a challenge to my use of evidence. 1457 01:04:18,570 --> 01:04:20,820 At least I am not aware of it. 1458 01:04:21,050 --> 01:04:24,020 They certainly haven't done it in professional media. 1459 01:04:24,110 --> 01:04:27,450 So I really don't have much dissatisfaction 1460 01:04:27,450 --> 01:04:31,680 about the contributions I've made to scholarship 1461 01:04:32,020 --> 01:04:35,570 and to knowledge about the way health care should be provided. 1462 01:04:35,650 --> 01:04:39,340 But it has been personally disappointing that 1463 01:04:39,510 --> 01:04:45,600 my work has not led to positive change over my lifetime. 1464 01:04:56,830 --> 01:05:00,420 The Obama Administration's health care policy 1465 01:05:00,650 --> 01:05:03,620 still left the insurance companies in charge. 1466 01:05:04,340 --> 01:05:08,050 It was reformed within the context of a for-profit system. 1467 01:05:08,390 --> 01:05:11,770 Insurance companies are still raising their rates to the roof. 1468 01:05:12,390 --> 01:05:16,570 It also didn't do anything to touch the pharmaceutical industry. 1469 01:05:16,660 --> 01:05:20,020 Because, essentially, with Medicare Part D still intact, 1470 01:05:20,020 --> 01:05:23,370 the pharmaceutical companies can continue to name their price 1471 01:05:23,400 --> 01:05:26,680 for prescription drugs and get it. 1472 01:05:26,800 --> 01:05:30,910 So the government, then, has a dual burden, 1473 01:05:31,020 --> 01:05:34,000 which is: more pressure on the Medicare budget 1474 01:05:34,170 --> 01:05:39,110 -- through the pharmaceutical companies taking a big chunk out of it -- 1475 01:05:39,400 --> 01:05:44,020 and greater pressure on the entire health care system 1476 01:05:44,250 --> 01:05:46,510 -- through... about one out of every three dollars 1477 01:05:46,510 --> 01:05:48,740 going for the activities of the for-profit system 1478 01:05:48,740 --> 01:05:51,050 (corporate profits, stock options, executive salaries, 1479 01:05:51,050 --> 01:05:53,200 advertising, marketing, the cost of paperwork). 1480 01:05:53,280 --> 01:05:56,050 I spoke about the urgent need for health care reform 1481 01:05:56,140 --> 01:05:58,170 and what will be required to achieve it. 1482 01:05:58,540 --> 01:06:01,280 And one of the things that will be required, I said, was that 1483 01:06:01,370 --> 01:06:03,710 everyone in our health care community 1484 01:06:03,850 --> 01:06:06,620 is gonna have to come together and do their part. 1485 01:06:07,140 --> 01:06:08,540 In recent days, 1486 01:06:08,650 --> 01:06:11,970 Chairman Max Baucus, who's been doing an outstanding job 1487 01:06:11,970 --> 01:06:14,340 leading the Finance Committee on this issue... 1488 01:06:14,420 --> 01:06:16,400 What I'm holding is a bottle of Zyprexa. 1489 01:06:16,510 --> 01:06:19,680 Zyprexa is an anti-psychotic medication. 1490 01:06:19,680 --> 01:06:22,740 It's very popular and it's very expensive. 1491 01:06:22,740 --> 01:06:27,340 This among some of the others: Abilify, 1492 01:06:27,800 --> 01:06:30,820 Cialis -- erectile dysfunction drugs -- 1493 01:06:30,940 --> 01:06:33,400 are very commonly diverted. 1494 01:06:33,420 --> 01:06:36,510 The reason being is, again, the medical programs 1495 01:06:36,600 --> 01:06:40,450 and insurance programs pay a lot of money for these drugs. 1496 01:06:41,400 --> 01:06:44,050 I'm a sales rep for a pharmaceutical company, 1497 01:06:44,050 --> 01:06:44,080 been doing it for about a year. I'm a sales rep for a pharmaceutical company, 1498 01:06:44,080 --> 01:06:45,910 been doing it for about a year. 1499 01:06:45,910 --> 01:06:48,350 And my job is essentially to 1500 01:06:48,350 --> 01:06:52,020 sell our products to physicians. 1501 01:06:52,170 --> 01:06:56,310 You can be fired for talking to physicians off-labeling. 1502 01:06:56,420 --> 01:06:57,850 Now, does it happen? 1503 01:06:57,880 --> 01:07:01,370 It happens often, and it happens frequently. 1504 01:07:01,510 --> 01:07:06,540 Off-label promotion in English means a drug company 1505 01:07:06,710 --> 01:07:11,400 attempting to sell a drug for a disease that the FDA hasn't approved it for. 1506 01:07:11,400 --> 01:07:15,170 Let's say a drug gets approved by the FDA for one purpose 1507 01:07:15,310 --> 01:07:17,020 and it doesn't sell very much. 1508 01:07:17,200 --> 01:07:20,970 So the company says, "Hmm, maybe we can pretend, 1509 01:07:21,020 --> 01:07:25,000 by advertising and promotion and buying up doctors to spread the buzz 1510 01:07:25,110 --> 01:07:30,480 that this drug is also good for the 2nd and third and fourth and fifth disease." 1511 01:07:30,570 --> 01:07:33,880 Their marketing is ingenious. 1512 01:07:33,880 --> 01:07:41,570 It is so illegal. It makes the Colombian cartel look like child's play. 1513 01:07:41,600 --> 01:07:47,510 Eli Lilly knows how long it's drug is patented 1514 01:07:47,600 --> 01:07:51,540 and how long they're gonna charge a premium price for that drug. 1515 01:07:51,620 --> 01:07:54,020 And as soon as that drug goes generic, 1516 01:07:54,140 --> 01:07:57,710 they need another drug to replace it to replace those profits, 1517 01:07:57,710 --> 01:08:00,510 because shareholders expect profits 1518 01:08:00,650 --> 01:08:02,480 and a return on their investment. 1519 01:08:02,680 --> 01:08:06,250 So Prozac is going off patent 1520 01:08:06,450 --> 01:08:10,420 and they need to replace those profits. So they take Zyprexa, 1521 01:08:10,500 --> 01:08:13,620 and they develop this elaborate scheme 1522 01:08:13,620 --> 01:08:19,250 to market Zyprexa to the elderly and to the children, to anybody off-label. 1523 01:08:19,400 --> 01:08:23,250 This is a criminal act on the part of a company. 1524 01:08:23,450 --> 01:08:28,050 If they do this, they're essentially making it seem as though this drug 1525 01:08:28,170 --> 01:08:33,850 is safe enough relative to its benefits to be promoted. 1526 01:08:33,970 --> 01:08:36,280 The fact is, if it hasn't been approved at all 1527 01:08:36,310 --> 01:08:39,020 for that off-label or second purpose, 1528 01:08:39,170 --> 01:08:41,510 we don't know whether the benefits outweigh the risk 1529 01:08:41,540 --> 01:08:43,080 or whether the risks outweigh the benefits. 1530 01:08:43,140 --> 01:08:45,820 If there was enough evidence of that, it would be on-label. 1531 01:08:45,880 --> 01:08:48,020 The FDA would get the evidence and would approve it. 1532 01:08:48,050 --> 01:08:51,400 So the elderly that were placed on Zyprexa 1533 01:08:51,510 --> 01:08:53,620 died terribly painful deaths. 1534 01:08:53,770 --> 01:08:59,540 Eli Lilly had psychiatrists in their staff 1535 01:08:59,650 --> 01:09:02,880 develop a psychological profile 1536 01:09:03,000 --> 01:09:06,220 of the doctors prescribing Zyprexa. 1537 01:09:06,400 --> 01:09:09,400 They would direct the marker to say 1538 01:09:09,540 --> 01:09:13,880 "No matter how dumb your doctor is, don't talk down to him." 1539 01:09:14,080 --> 01:09:17,710 Pharmaceutical representatives are universally attractive. 1540 01:09:17,880 --> 01:09:20,480 They get recruited from places like cheerleading squads 1541 01:09:20,480 --> 01:09:22,770 at big ten schools, in the case of women. 1542 01:09:22,820 --> 01:09:27,020 And it's quite clear that part of their hiring process 1543 01:09:27,140 --> 01:09:29,110 is the attractiveness of the people. 1544 01:09:29,110 --> 01:09:31,680 They don't particularly have a lot of medical background, 1545 01:09:31,680 --> 01:09:33,200 you know, they are marketers. 1546 01:09:33,340 --> 01:09:36,740 But they go to sort of boot camp to learn about their drug. 1547 01:09:36,820 --> 01:09:40,850 They're going to primary care physicians, who are treating you and I, 1548 01:09:41,160 --> 01:09:46,020 and telling them how to manage their patients 1549 01:09:46,020 --> 01:09:48,940 who might just have a sleep disorder. 1550 01:09:49,140 --> 01:09:51,620 And I guess the most frustrating thing to me 1551 01:09:51,620 --> 01:09:54,770 to find out is that 20% of the people getting Zyprexa, 1552 01:09:54,800 --> 01:09:56,940 at least in our claims data, 1553 01:09:57,020 --> 01:10:00,450 were people that were over 65, for whom it was off-labeled. 1554 01:10:00,450 --> 01:10:03,110 Not only that, most of these people had never, 1555 01:10:03,170 --> 01:10:04,650 in the data that we had, 1556 01:10:04,740 --> 01:10:08,080 had evidence that they were Schizophrenic or bipolar. 1557 01:10:08,080 --> 01:10:10,200 They taught them to say, 1558 01:10:10,220 --> 01:10:13,020 "Doctor, well, don't you have any people that come in and complain: 1559 01:10:13,020 --> 01:10:17,540 'Well, you know, financially, we're doing--we're having a difficult time, 1560 01:10:17,600 --> 01:10:21,310 and I'm just stressed out right now'? 1561 01:10:21,310 --> 01:10:26,050 Anybody who says that, who uses these magic words like 'stress', 1562 01:10:26,110 --> 01:10:31,140 you can convert that word into 'delusional', okay? 1563 01:10:31,200 --> 01:10:36,510 You can convert any anxiety they have into a delusional behavior. 1564 01:10:36,510 --> 01:10:40,220 And as long as you put 'delusional' in your record, 1565 01:10:40,580 --> 01:10:44,420 then you can qualify for payment 1566 01:10:44,540 --> 01:10:47,450 by a government entity like Medicaid and Medicare." 1567 01:10:47,450 --> 01:10:51,170 The reason that drug companies pray on Medicaid 1568 01:10:51,170 --> 01:10:54,170 is the same reason that bank robbers rob banks. 1569 01:10:54,250 --> 01:10:55,710 That's where the money is. 1570 01:10:55,770 --> 01:10:59,080 And there's hundreds of millions of dollars 1571 01:10:59,110 --> 01:11:03,170 in even a relatively small state like Utah, 1572 01:11:03,170 --> 01:11:06,280 with its population of 2.5 million people. 1573 01:11:06,340 --> 01:11:12,710 "If you do that, we will pay you to go on a speaking circuit 1574 01:11:12,710 --> 01:11:17,020 to tell other doctors how effective this drug is 1575 01:11:17,140 --> 01:11:20,620 for your regular patients." 1576 01:11:20,740 --> 01:11:22,280 What qualifies as a speaker is, 1577 01:11:22,280 --> 01:11:28,000 if that doctor got on the phone and talked to even one other doctor 1578 01:11:28,170 --> 01:11:31,880 who was scheduled to take part in a telephonic conference, 1579 01:11:32,020 --> 01:11:33,600 they would get a check. 1580 01:11:33,610 --> 01:11:38,170 And there were doctors who were getting a lot of checks for that. 1581 01:11:38,370 --> 01:11:39,820 I sue drug companies. 1582 01:11:39,880 --> 01:11:43,340 I sue them on behalf of Attorney General. 1583 01:11:43,370 --> 01:11:46,740 I sue them on behalf of Medicaid. 1584 01:11:46,850 --> 01:11:50,050 I've been doing that for about six years. 1585 01:11:50,280 --> 01:11:53,770 We were really the first set of lawyers 1586 01:11:53,770 --> 01:11:57,340 to bring an Attorney General case to trial. 1587 01:11:57,370 --> 01:12:00,480 We bought--brought that case to trial in Alaska. 1588 01:12:00,570 --> 01:12:04,010 Two weeks into trial and shortly before the jury out..., went out, 1589 01:12:04,020 --> 01:12:06,910 we settled the case for $15 million. 1590 01:12:07,110 --> 01:12:11,540 I settled Utah's case against the same defendant, which is Eli Lilly, 1591 01:12:11,540 --> 01:12:13,680 maker of the drug Zyprexa. 1592 01:12:13,680 --> 01:12:16,620 I settled the Utah case for $24 million, 1593 01:12:16,680 --> 01:12:19,740 Idaho case for $13 million, 1594 01:12:19,740 --> 01:12:25,020 West Virginia versus Eli Lilly, which settled for about $24 million. 1595 01:12:25,050 --> 01:12:28,200 Many of the Attorney Generals turned us away 1596 01:12:29,340 --> 01:12:35,510 because it's unpopular for them to sue big business. 1597 01:12:35,650 --> 01:12:39,600 Not only is it unpopular, but it's very expensive. 1598 01:12:39,710 --> 01:12:45,910 The government purse was being depleted in enormous amounts 1599 01:12:46,020 --> 01:12:49,360 by these drug companies that weren't playing fair 1600 01:12:49,370 --> 01:12:53,050 and the government had the right to recover that money. 1601 01:12:53,140 --> 01:12:58,770 The issue was--it's whether or not there was excessive costs 1602 01:12:58,800 --> 01:13:04,880 or excessive inappropriate uses of Zyprexa in the Medicaid population. 1603 01:13:04,910 --> 01:13:07,220 The FDA approved the use of that drug 1604 01:13:07,400 --> 01:13:11,370 for people between the ages of 18 and 65 1605 01:13:11,400 --> 01:13:17,000 only if they had been diagnosed with bipolar disorder or Schizophrenia. 1606 01:13:17,110 --> 01:13:19,970 In other words, they had no clinical condition in their past 1607 01:13:19,970 --> 01:13:22,510 that would indicate why they should get Zyprexa. 1608 01:13:22,680 --> 01:13:27,340 Secondly is, is these people had an increased propensity 1609 01:13:27,370 --> 01:13:28,570 for getting diabetes. 1610 01:13:28,620 --> 01:13:31,140 I looked, then, at what the cost would be to our program 1611 01:13:31,140 --> 01:13:31,170 and noted that, besides the pill costs, I looked, then, at what the cost would be to our program 1612 01:13:31,170 --> 01:13:33,740 and noted that, besides the pill costs, 1613 01:13:33,850 --> 01:13:35,370 there were additional health care costs, 1614 01:13:35,370 --> 01:13:38,710 maybe up to $70 million for our particular state 1615 01:13:38,800 --> 01:13:40,280 for the use of this medication. 1616 01:13:40,280 --> 01:13:44,170 These are primary care physicians that they're selling Zyprexa to. 1617 01:13:44,280 --> 01:13:47,200 They're not going to psychiatrists 1618 01:13:47,400 --> 01:13:53,800 who are treating the people the FDA has approved Zyprexa for. 1619 01:13:53,850 --> 01:13:59,710 Only psychiatrists are treating people with bipolar disorder and schizophrenia. 1620 01:13:59,770 --> 01:14:02,510 The justice department that prosecutes these cases 1621 01:14:02,540 --> 01:14:06,340 hasn't fined the companies anywhere near as much as they should. 1622 01:14:06,340 --> 01:14:10,220 In other words, as much as they made. Nor has anyone ever gone to jail. 1623 01:14:10,280 --> 01:14:13,760 If you just think about the consequences of this criminal activity: 1624 01:14:14,110 --> 01:14:18,250 a doctor gets illegally promoted by the company 1625 01:14:18,340 --> 01:14:21,970 to prescribe a drug that the doctor may think 1626 01:14:22,050 --> 01:14:23,880 has benefits that outweigh the risk. 1627 01:14:23,910 --> 01:14:25,370 There isn't any evidence for that at all. 1628 01:14:25,370 --> 01:14:28,540 The doctor prescribes the drug, a person dies 1629 01:14:28,540 --> 01:14:31,300 because there really wasn't any evidence that it even worked for that. 1630 01:14:31,310 --> 01:14:33,850 And there were-- there's evidence of dangers. 1631 01:14:34,110 --> 01:14:37,420 One company, Pfizer, one of the biggest drug companies in the world, 1632 01:14:37,510 --> 01:14:40,710 sold $1 billion a year of a particular drug, 1633 01:14:40,710 --> 01:14:44,420 and 90% of the sales were for off-label use. 1634 01:14:44,510 --> 01:14:47,170 Illegal, they were criminally prosecuted for it 1635 01:14:47,280 --> 01:14:49,500 back about five or six years ago. 1636 01:14:49,500 --> 01:14:50,900 But the fine they paid, 1637 01:14:50,910 --> 01:14:53,600 which seemed large --hundreds of millions of dollars-- 1638 01:14:53,740 --> 01:14:57,050 wasn't big enough to deter them from doing it again. 1639 01:14:57,240 --> 01:15:01,170 And in September of 2009, the same company 1640 01:15:01,280 --> 01:15:06,310 paid the largest criminal penalty ever paid by any United States company: 1641 01:15:06,450 --> 01:15:12,570 over $1.2 billion for illegal, criminal off-label promotion. 1642 01:15:12,650 --> 01:15:14,880 This was a deliberate scheme. 1643 01:15:14,880 --> 01:15:20,740 They know how defenseless Medicaid and Medicare are 1644 01:15:20,800 --> 01:15:23,740 when it comes to paying drug prescriptions. 1645 01:15:23,910 --> 01:15:28,000 There's such an elaborate computer oriented system 1646 01:15:28,000 --> 01:15:29,770 set up for payment 1647 01:15:29,770 --> 01:15:33,940 of these millions and millions of prescriptions across the country 1648 01:15:34,020 --> 01:15:36,600 by people on Medicaid and Medicare 1649 01:15:36,680 --> 01:15:38,880 that it can't be interrupted. 1650 01:15:39,020 --> 01:15:44,140 There's no way for any watchdog to say, 1651 01:15:44,250 --> 01:15:47,480 "Oh well, you've prescribed this to somebody 1652 01:15:47,560 --> 01:15:49,450 who has no business taking it." 1653 01:15:49,570 --> 01:15:51,570 Medicaid will pay 1654 01:15:51,800 --> 01:15:55,540 whatever it is they choose to charge for their drugs. 1655 01:15:55,570 --> 01:15:57,680 So Zyprexa prescriptions 1656 01:15:57,820 --> 01:16:03,080 cost somewhere between $500 and $1,000 a month per person. 1657 01:16:03,110 --> 01:16:05,970 It's an extraordinarily expensive drug. 1658 01:16:06,050 --> 01:16:07,620 When we looked at this, we noticed that 1659 01:16:07,620 --> 01:16:09,740 there was a considerable increase in cost. 1660 01:16:09,770 --> 01:16:12,200 In addition to the cost of the medicine itself. 1661 01:16:12,400 --> 01:16:14,710 Now, this was particularly frustrating to me 1662 01:16:14,710 --> 01:16:18,400 because recently there's been evidence that some of the older 1663 01:16:18,480 --> 01:16:22,710 antipsychotics -- (Antipsychotics had been around for 40 or 50 years) -- 1664 01:16:22,850 --> 01:16:25,800 work almost as well as Zyprexa. 1665 01:16:25,970 --> 01:16:29,170 So here we have a group of people over 65 1666 01:16:29,310 --> 01:16:33,510 who are getting a medication for anxiety or to calm them down 1667 01:16:33,620 --> 01:16:36,450 for which the medicine was not approved, 1668 01:16:36,650 --> 01:16:38,340 and it's costing a lot of money, 1669 01:16:38,470 --> 01:16:41,140 increasing the likelihood that they'll have diabetes. 1670 01:16:41,250 --> 01:16:44,220 And in addition to that, there are other medicines 1671 01:16:44,220 --> 01:16:46,800 that they could've used that seem to work as effectively. 1672 01:16:46,910 --> 01:16:51,710 But the state is paying for it, so it doesn't matter that it's expensive. 1673 01:16:51,710 --> 01:16:56,000 And it doesn't matter that there are other things that are better. 1674 01:16:56,050 --> 01:17:00,420 It's sort of like a modern form of lobotomy. 1675 01:17:00,970 --> 01:17:03,420 While the nurses are complaining less 1676 01:17:03,450 --> 01:17:07,770 because the old people are less active, it's killing them. 1677 01:17:07,800 --> 01:17:12,280 And it's extremely expensive. 1678 01:17:12,600 --> 01:17:17,940 Our look at the data said it's extremely expensive to die. 1679 01:17:18,110 --> 01:17:22,970 So what happens is: Medicaid winds up paying for the person's final illness. 1680 01:17:23,110 --> 01:17:26,970 So it's a win-win for Lilly and for the doctors, 1681 01:17:27,080 --> 01:17:32,450 but it is a terrible losing proposition for the state. 1682 01:17:32,820 --> 01:17:36,940 What we found out through the Medicaid databases 1683 01:17:36,940 --> 01:17:39,140 of the states that we represented 1684 01:17:39,370 --> 01:17:45,540 was that over 50% of the drug Zyprexa 1685 01:17:45,540 --> 01:17:50,020 was prescribed off-label for uses unapproved by the FDA. 1686 01:17:50,140 --> 01:17:54,740 This is over 50% of the drug just in the Medicaid population. 1687 01:17:55,200 --> 01:17:58,250 There's no doubt that at least that much of the drug 1688 01:17:58,250 --> 01:18:02,940 was prescribed off-label for people outside the Medicaid population. 1689 01:18:02,970 --> 01:18:04,570 All right, now we're gonna get back to our earnings. 1690 01:18:04,570 --> 01:18:05,970 specifically drug earnings. 1691 01:18:05,970 --> 01:18:09,250 Eli Lilly beating analyst estimates by two pennies a share, 1692 01:18:09,310 --> 01:18:12,200 not counting money set aside for future legal settlements 1693 01:18:12,280 --> 01:18:14,770 linked to the antipsychotic drug Zyprexa. 1694 01:18:14,820 --> 01:18:17,200 Joining us for a closer look at the company's numbers 1695 01:18:17,280 --> 01:18:19,970 is John Lechleiter, Chief Executive Officer at Eli Lilly. 1696 01:18:19,970 --> 01:18:20,600 He comes to us 1697 01:18:20,600 --> 01:18:23,000 from the company's headquarters in Indianapolis this morning. 1698 01:18:23,020 --> 01:18:25,250 John, good morning. Good to have you back on Morning Call. 1699 01:18:25,370 --> 01:18:26,370 Thanks, Carol, good morning. 1700 01:18:26,370 --> 01:18:29,620 So what are the highlights from the quarter? 1701 01:18:30,080 --> 01:18:34,080 Carol, we had a very strong quarter. We grew our sales 14%. 1702 01:18:34,080 --> 01:18:36,740 We grew our expenses less than that. 1703 01:18:36,800 --> 01:18:38,710 We expanded our gross margin. 1704 01:18:38,800 --> 01:18:42,140 Our non gap quarter to quarter comparison: 1705 01:18:42,170 --> 01:18:44,880 14% growth in earnings per share. 1706 01:18:44,970 --> 01:18:49,370 Make it too expensive to do it in the unsafe way. 1707 01:18:49,880 --> 01:18:52,280 If you say to the drug company, 1708 01:18:52,280 --> 01:18:54,540 "Hey, look. You can make 1709 01:18:54,600 --> 01:19:01,740 $4 billion worth of profit out of this if you do it in the unsafe way, 1710 01:19:01,880 --> 01:19:06,310 but I'm only gonna fine you $1 billion." 1711 01:19:06,910 --> 01:19:10,280 Well, that's $3 billion worth of profit. 1712 01:19:10,940 --> 01:19:14,200 Well, it can't work that way. 1713 01:19:14,220 --> 01:19:20,200 It's got to be too expensive to do it in the unsafe way. 1714 01:19:20,400 --> 01:19:23,820 The FDA, they don't have the manpower. They never will. 1715 01:19:23,880 --> 01:19:28,080 They do it--they do the best job that they can with what they have. 1716 01:19:28,220 --> 01:19:29,770 But as one of our experts said, 1717 01:19:29,770 --> 01:19:34,450 nobody can review a new drug application at the FDA. 1718 01:19:34,480 --> 01:19:38,140 Because no human being can read the whole thing. 1719 01:19:38,250 --> 01:19:40,370 You can hide the stuff in there. 1720 01:19:40,570 --> 01:19:42,450 But what the drug company needs to know 1721 01:19:42,570 --> 01:19:44,710 before they ever submit that application 1722 01:19:44,710 --> 01:19:48,620 is that if I hide things in there and the truth comes out, 1723 01:19:48,740 --> 01:19:53,880 it's going to be more expense than it is worth. 1724 01:19:54,020 --> 01:19:58,140 Otherwise, none of us are gonna be safe from this behavior. 1725 01:19:58,140 --> 01:20:02,880 You can't let them make a net profit on lying. 1726 01:20:02,910 --> 01:20:06,680 You make a net profit on lying, you're going to lie. 1727 01:20:06,740 --> 01:20:08,400 And it's the lawyer's fault, OK? 1728 01:20:08,420 --> 01:20:11,250 It's the lawyer's fault. We invented corporations. 1729 01:20:11,420 --> 01:20:14,740 And when we invented it, we didn't give it a conscience. 1730 01:20:14,740 --> 01:20:18,020 We didn't give it a soul. You can't put it in jail. 1731 01:20:18,110 --> 01:20:22,280 It's not a human being. It's a machine. It's a legal machine. 1732 01:20:22,400 --> 01:20:24,570 We invented it. It's our fault. 1733 01:20:24,620 --> 01:20:27,600 But the only way to keep that machine in check 1734 01:20:27,820 --> 01:20:32,110 is to make it too expensive for that machine to do it. 1735 01:20:32,120 --> 01:20:34,850 Because that's all the machine understands. 1736 01:20:34,910 --> 01:20:36,850 And that'll solve the problem. 1737 01:20:36,970 --> 01:20:39,140 We--we are spending 1738 01:20:41,020 --> 01:20:43,510 for a level of health care 1739 01:20:43,620 --> 01:20:45,170 that we should be able to have it all. 1740 01:20:45,170 --> 01:20:48,280 Instead, what we spend on health care 1741 01:20:48,370 --> 01:20:53,140 benefits the insurance companies and the pharmaceutical companies. 1742 01:20:53,340 --> 01:20:55,820 I think we need to change medical education. 1743 01:20:56,480 --> 01:20:59,310 We need to train medical students in residence 1744 01:20:59,370 --> 01:21:01,570 so that they think about adverse effects, 1745 01:21:02,140 --> 01:21:07,050 probably even before they think about the desired effect. 1746 01:21:07,970 --> 01:21:12,450 Because adverse effects cause problems in patients. 1747 01:21:12,620 --> 01:21:17,200 And that's counter to the principle that we all have abided-- 1748 01:21:17,280 --> 01:21:21,400 that we all have sworn to when we graduated, that is, "Do no harm." 1749 01:21:21,620 --> 01:21:25,650 As much as I'm for small government, we're gonna need a monitoring agency. 1750 01:21:25,820 --> 01:21:31,050 But we have to figure out ways to absolutely insulate 1751 01:21:31,170 --> 01:21:36,400 the people who monitor from the people whom they're monitoring. 1752 01:21:36,480 --> 01:21:39,650 We can look back as far as people like Elvis Presley, 1753 01:21:39,680 --> 01:21:42,420 and Anna Nicole Smith more recently, 1754 01:21:42,540 --> 01:21:47,770 and then graduating into Heath Ledger, Corey Haim, people like this dying. 1755 01:21:47,770 --> 01:21:50,370 And the only positive that's come out of this negative 1756 01:21:50,370 --> 01:21:53,250 is that it's brought some attention to the American public 1757 01:21:53,400 --> 01:21:55,250 that this is a problem. 1758 01:21:55,280 --> 01:21:59,540 And the reality is is that, regular people, non-celebrities, 1759 01:21:59,680 --> 01:22:05,200 are dying every single day from prescription pills--not from overdoses, 1760 01:22:05,200 --> 01:22:06,770 not from people taking it for fun, 1761 01:22:06,770 --> 01:22:09,340 but people simply taking their medications 1762 01:22:09,420 --> 01:22:12,140 exactly how their doctor told them to take it. 1763 01:22:12,170 --> 01:22:17,220 But the combination of sleeping pills and anxiety pills and narcotics, 1764 01:22:17,680 --> 01:22:19,910 they go to sleep, they don't wake up. 1765 01:22:27,650 --> 01:22:29,080 So how do we stop it? 1766 01:22:29,080 --> 01:22:34,850 The problem is, we have a nation of addicts that are being ignored. 1767 01:22:41,740 --> 01:22:43,910 The answer to the problem, 1768 01:22:43,910 --> 01:22:46,340 in my opinion, is not the government. 1769 01:22:46,370 --> 01:22:47,280 It's not other people. 1770 01:22:47,280 --> 01:22:51,510 It really starts with the individual being responsible for themselves. 1771 01:22:51,540 --> 01:22:56,710 I think that every person should have their own medical record, period. 1772 01:22:56,770 --> 01:23:00,220 You shouldn't rely on your medical record to be at your doctor's office. 1773 01:23:00,220 --> 01:23:01,740 Maintain your own medical records. 1774 01:23:01,740 --> 01:23:05,250 If you have an MRI, get a copy for yourself. 1775 01:23:19,220 --> 01:23:21,110 The best way to solve this problem 1776 01:23:21,110 --> 01:23:23,250 is to prevent it from happening in the first place. 1777 01:23:23,400 --> 01:23:25,110 If a person has to have surgery, 1778 01:23:25,110 --> 01:23:27,140 then they're gonna need a pain pill after surgery.... 1779 01:23:27,140 --> 01:23:30,850 You're gonna have an arthroscopy of your knee, it hurts. 1780 01:23:31,020 --> 01:23:33,850 It's supposed to hurt. You're supposed to take some pain medicine. 1781 01:23:33,940 --> 01:23:39,540 Most pain happens after surgery in the first 72 hours, the first three days. 1782 01:23:39,620 --> 01:23:43,170 So it's fine to take a strong painkiller for those three days. 1783 01:23:43,200 --> 01:23:47,540 But often what you see is, doctors will give out 90 pills 1784 01:23:47,540 --> 01:23:49,910 or 60 pills or 120 pills 1785 01:23:50,000 --> 01:23:51,480 for a surgery 1786 01:23:51,510 --> 01:23:53,280 that's only gonna really hurt the person 1787 01:23:53,280 --> 01:23:55,880 where they would need those pills for maybe three or four days. 1788 01:24:09,800 --> 01:24:11,970 If you only use a few pills, 1789 01:24:11,970 --> 01:24:13,740 get rid of the other pills. 1790 01:24:13,940 --> 01:24:15,570 You don't want to throw them down the toilet. 1791 01:24:15,570 --> 01:24:17,220 People say, “Well, I flush it down the toilet." 1792 01:24:17,280 --> 01:24:19,140 We're contaminating our water system. 1793 01:24:19,170 --> 01:24:20,680 So you don't want to flush it down the toilet. 1794 01:24:20,680 --> 01:24:23,600 You want to take it back to your physician's office. 1795 01:24:23,680 --> 01:24:27,680 And they normally have a mechanism to get rid of drugs safely. 1796 01:24:42,080 --> 01:24:45,250 Don't look--don't accept a pill for a problem. 1797 01:24:45,420 --> 01:24:46,970 So if you go to a doctor 1798 01:24:47,050 --> 01:24:48,450 and you tell the doctor 1799 01:24:48,570 --> 01:24:49,940 that you're having headaches. 1800 01:24:49,940 --> 01:24:52,400 And the first thing he does is give you a pill for headache-- 1801 01:24:52,480 --> 01:24:54,420 he doesn't even ask you what kind of headaches, 1802 01:24:54,420 --> 01:24:56,820 when did they start, why they start. 1803 01:24:57,140 --> 01:24:58,710 You first tell the doctor, 1804 01:24:58,710 --> 01:25:01,800 "Is there any alternative other than this pill for my headaches?" 1805 01:25:01,850 --> 01:25:04,910 And if the doctor tells you no, it's time to find a new doctor. 1806 01:25:53,580 --> 01:25:55,050 ♪ You got to push in my hand 1807 01:25:55,080 --> 01:25:56,080 ♪ that won't let up. 1808 01:25:56,080 --> 01:25:58,570 ♪ No brakes, living fast, not givin' a fuck. 1809 01:25:58,570 --> 01:26:00,480 ♪ High stakes, I'm gonna get it 1810 01:26:00,480 --> 01:26:01,480 ♪ 'cause I'm a fiend 1811 01:26:01,480 --> 01:26:02,680 ♪ sell the devil my soul 1812 01:26:02,680 --> 01:26:03,820 ♪ to get me what I need. 1813 01:26:03,820 --> 01:26:04,880 ♪ Get me a fix, 1814 01:26:04,910 --> 01:26:06,400 ♪ get me back into the zone. 1815 01:26:06,420 --> 01:26:07,820 ♪ Just one more trip 1816 01:26:07,820 --> 01:26:09,050 ♪ until my mind gets blown. 1817 01:26:09,050 --> 01:26:10,050 ♪ Leave me alone. 1818 01:26:10,050 --> 01:26:11,870 ♪ Prescriptions for the shit I'm on 1819 01:26:11,880 --> 01:26:13,370 ♪ got me looking like the light's on. 1820 01:26:13,370 --> 01:26:14,540 ♪ But no one's home 1821 01:26:14,570 --> 01:26:15,450 ♪ check my heartbeat 1822 01:26:15,450 --> 01:26:17,030 ♪ racing at the speed of light. 1823 01:26:17,030 --> 01:26:17,080 ♪ Percocet or Vicodin ♪ racing at the speed of light. 1824 01:26:17,080 --> 01:26:18,430 ♪ Percocet or Vicodin 1825 01:26:18,440 --> 01:26:19,600 ♪ will set you free tonight. 1826 01:26:19,600 --> 01:26:19,620 ♪ I tripled up on everything ♪ will set you free tonight. 1827 01:26:19,620 --> 01:26:20,910 ♪ I tripled up on everything 1828 01:26:20,930 --> 01:26:22,330 ♪ I'm not breathing right 1829 01:26:22,340 --> 01:26:23,740 ♪ it's got a hold on me 1830 01:26:23,740 --> 01:26:24,820 ♪ and it might seize my life. 1831 01:26:24,820 --> 01:26:26,170 ♪ I ain't never give a fuck 1832 01:26:26,200 --> 01:26:27,020 ♪ about shit 1833 01:26:27,050 --> 01:26:28,110 ♪ except for corporate doctor 1834 01:26:28,110 --> 01:26:29,400 ♪ trying to get me that fix. 1835 01:26:29,420 --> 01:26:31,020 ♪ I got a drug cocktail 1836 01:26:31,020 --> 01:26:32,080 ♪ to get me in the mix. 1837 01:26:32,770 --> 01:26:33,940 ♪ Pop a pill, kneel 1838 01:26:33,940 --> 01:26:35,510 ♪ and kiss my crucifix, 1839 01:26:35,510 --> 01:26:36,820 ♪ I see that my 1840 01:26:36,820 --> 01:26:38,950 ♪ problems never change 1841 01:26:41,310 --> 01:26:42,600 ♪ the more I try.... 1842 01:26:44,550 --> 01:26:46,570 I'm stopped taking the medication. 1843 01:26:46,680 --> 01:26:49,000 It had side effects that had 1844 01:26:50,250 --> 01:26:55,080 caused me numerous whole bouts 1845 01:26:56,340 --> 01:26:58,220 of personality changes that 1846 01:26:58,480 --> 01:27:01,020 caused a breakup with my fiancée. 1847 01:27:01,080 --> 01:27:03,850 I kind of just stopped everything, 1848 01:27:04,340 --> 01:27:08,000 and, for about 20 days, 1849 01:27:08,050 --> 01:27:11,970 went through withdrawals and the worst feeling in my life. 1850 01:27:12,640 --> 01:27:14,540 I was an addict. 1851 01:27:14,620 --> 01:27:17,410 I was taking them all the time 1852 01:27:17,880 --> 01:27:19,220 for two years. 1853 01:27:19,650 --> 01:27:22,420 I was taking eight to ten a day. 1854 01:27:22,940 --> 01:27:24,970 and my body felt like I needed it. 1855 01:27:25,050 --> 01:27:26,250 I had no strength. 1856 01:27:26,280 --> 01:27:28,370 Like I was nobody. 1857 01:27:28,400 --> 01:27:31,000 I was really sad, crying. 1858 01:27:32,670 --> 01:27:35,060 Okay, 1859 01:27:36,080 --> 01:27:40,340 I started at one pill a day 1860 01:27:40,500 --> 01:27:42,730 for the first month or so. 1861 01:27:42,740 --> 01:27:45,480 and then it slowly progressed to two. 1862 01:27:45,480 --> 01:27:48,280 And then I ended up at the most-- 1863 01:27:48,280 --> 01:27:50,420 I ended up taking about 1864 01:27:50,480 --> 01:27:52,310 seven to eight pills a day. 1865 01:27:52,400 --> 01:27:55,770 and I was sifting them onto foil. 1866 01:27:55,820 --> 01:27:57,650 And then I would smoke them. 1867 01:27:57,680 --> 01:28:00,170 Or sometimes I would sniff them. 1868 01:28:00,280 --> 01:28:05,020 And it just took me away. It hit me. 1869 01:28:05,050 --> 01:28:06,880 It'd make you feel maybe-- 1870 01:28:06,880 --> 01:28:09,250 maybe a little euphoric or something. 1871 01:28:09,400 --> 01:28:12,910 But I always thought I took them for the pain. 1872 01:28:12,910 --> 01:28:14,600 But I think I took them mostly 1873 01:28:14,650 --> 01:28:17,220 like they said, because I just thought I needed them. 1874 01:28:17,280 --> 01:28:20,620 I never knew what these medications were 1875 01:28:20,620 --> 01:28:23,620 or, you know, the long-term effects of them. 1876 01:28:23,620 --> 01:28:27,740 It's such an easy thing to get caught in this vicious circle. 1877 01:28:28,910 --> 01:28:31,370 Being given pills every month, 1878 01:28:31,940 --> 01:28:35,020 you know, ridiculous quantities, 1879 01:28:35,200 --> 01:28:37,280 is just like you're not even you. 1880 01:28:37,310 --> 01:28:39,340 You're just a zombie. 1881 01:28:40,740 --> 01:28:42,130 ♪ Stuck on the mushrooms, 1882 01:28:42,130 --> 01:28:43,370 ♪ hallucinating 1883 01:28:43,370 --> 01:28:44,540 ♪ locked in the room 1884 01:28:44,540 --> 01:28:45,910 ♪ going head up a second 1885 01:28:45,910 --> 01:28:47,240 ♪ addicted to them pistols 1886 01:28:47,240 --> 01:28:48,640 ♪ and running missions 1887 01:28:48,650 --> 01:28:49,820 ♪ 45 the case 1888 01:28:49,880 --> 01:28:51,140 ♪ and making bad decisions 1889 01:28:51,240 --> 01:28:52,640 ♪ addicted to throwin' up 1890 01:28:52,640 --> 01:28:53,570 ♪ my blessing. 1891 01:28:53,570 --> 01:28:54,710 ♪ I was down to die 1892 01:28:54,710 --> 01:28:55,570 ♪ for that shit. 1893 01:28:55,570 --> 01:28:56,220 ♪ You can bet 1894 01:28:56,250 --> 01:28:57,600 ♪ I'm addicted to this music 1895 01:28:57,680 --> 01:28:58,880 ♪ that saved my life, 1896 01:28:58,880 --> 01:29:00,020 ♪ helped me become a man, 1897 01:29:00,080 --> 01:29:01,650 ♪ and get my shit right, 1898 01:29:02,250 --> 01:29:03,450 ♪ and I’ll probably 1899 01:29:03,480 --> 01:29:05,510 ♪ never can change. 1900 01:29:07,250 --> 01:29:08,860 ♪ The more I try 1901 01:29:09,340 --> 01:29:11,540 ♪ the more I stay the same. 1902 01:29:11,540 --> 01:29:14,000 ♪ I hate to look in the mirror 1903 01:29:14,050 --> 01:29:15,140 ♪ 'cause all I see 1904 01:29:15,170 --> 01:29:16,480 ♪ somebody sprung 1905 01:29:16,540 --> 01:29:17,800 ♪ that looks like me. 1906 01:29:17,880 --> 01:29:20,570 ♪ And I can't break my habits 1907 01:29:20,580 --> 01:29:23,000 ♪ I'm an American addict! 149959

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