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1 1 Wilson M. Compton, M.D., M.P.E. Deputy Director National Institute on Drug Abuse Prevention for an Era of Shifting Drug Use: Opioids, Marijuana, ECigarettes Healthy Heart Diseased Heart Decreased Heart Metabolism in Heart Disease Patient Addiction is a Disease of the Brain as other diseases it affects the tissue function Control Cocaine Abuser Decreased Brain Metabolism in Drug Abuse Patient Sources: From the laboratories of Drs. N. Volkow and H. Schelbert High Low Many Factors Lead to Drug Abuse and Addic�on Addic�on DRUG Brain Mechanisms Biology/Genes John Smith James Smith Ann Jones John Jones Mary Hill Walter Jones James Hill Susan Adams Alice Price Thomas Jones William Price Richard Hill Steven Adams Allison Fields Mary Walters Alice Benson Rebecca Wilson ThomasSmith John Smith EdwardSmith AnneCook JaneWalker John Walker JaneJones Susan Edwards JamesCook Beth Bryson JonathanCook Edward Bryson Amy Mason Beth Carter Environment Prevention Approaches Should Enhance Protective Factors & Reduce Risk Factors Reduce these Elevate these How Prevention Interventions Work MODIFIABLE RISK and PROTECTIVE FACTORS Background Factors Age Gender Race/ethnicity Poverty level Genotype Early aggression Social skills deficits Academic problem Misperceived drug use norms Association with deviant peers Neighborhood availability Media glamorization Parental monitoring and support INTERVENTIONS Parent skills training Social skills training Selfregulation Impulse control Tutoring Norms training Refusal skills Community policing Health literacy Nurse Home Visiting during pregnancy and first two years impacts substance use, mental health and academics Arch Pediatr Adoles Med, 164(5) 412418, 2010 Percent of Children Who UsedTobacco, Alcohol, or Marijuana (Last 30 Days) Child Age 12 Percent of Children with Internalizing Problems (Borderline or Clinical) Child Age 12 0 1 2 3 4 5 6 Nurse Comparison 0 1 2 3 4 5 6 Nurse Comparison PIAT Scores Reading & Math – Age 12 (Born to LowResource Mothers) 80 85 90 Nurse Comparison Percent of Mothers with Role Impairment due to Alcohol or Drug Use – Child Age 12 0 1 2 3 Nurse Comparison
Transcript
Page 1: 6 5 4 3 2 1 0 Nurse Comparison 90 3 2 85 1 80 0 Nurse ...npnconference-org.wise-symposium.org/wp-content/... · Wilson M. Compton, M.D., M.P.E. Deputy Director National Institute

1

1  

Wilson  M.  Compton,  M.D.,  M.P.E.  Deputy  Director  

National  Institute  on  Drug  Abuse        

Prevention  for  an  Era  of  Shifting  Drug  Use:  

Opioids,  Marijuana,  E-­‐Cigarettes  

Healthy  Heart   Diseased  Heart  

Decreased  Heart  Metabolism  in  Heart  Disease  Patient  

Addiction  is  a  Disease  of  the  Brain  as  other  diseases  it  affects  the  tissue  function    

       Control                                                  Cocaine  Abuser  

Decreased  Brain  Metabolism  in  Drug  Abuse  Patient  

Sources:    From  the  laboratories  of  Drs.  N.  Volkow  and  H.  Schelbert  

High  

Low  

Many  Factors  Lead  to  Drug  Abuse  and  Addic�on  

Addic�on  

DRUG  

Brain  Mechanisms  

Biology/Genes  

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Environment  

•  Prevention  Approaches  Should    Enhance  Protective  Factors  &  Reduce  Risk  Factors      

Reduce  these   Elevate  these  

How  Prevention  Interventions  Work  

MODIFIABLE    RISK  and  

PROTECTIVE  FACTORS  

Background  Factors  

Age  Gender  Race/ethnicity  Poverty  level  Genotype  

Early  aggression  Social  skills  deficits  Academic  problem  

Misperceived  drug  use  norms  Association  with  deviant  peers  Neighborhood  availability  

Media  glamorization  Parental  monitoring  and  

support  

INTERVENTIONS  

Parent  skills  training  Social  skills  training  

Self-­‐regulation  Impulse  control  

Tutoring  Norms  training  Refusal  skills  

Community  policing  Health  literacy  

Nurse  Home  Visiting  during  pregnancy  and  first  two  years  impacts  substance  use,  mental  health  and  academics  

                                 Arch  Pediatr  Adoles  Med,  164(5)  412-­‐418,  2010  

Percent  of  Children  Who  Used  Tobacco,    Alcohol,  or  Marijuana  (Last  30  Days)  

 Child  Age  12  

Percent  of  Children  with  Internalizing  Problems    (Borderline  or  Clinical)      

Child  Age  12  

0

1

2

3

4

5

6

Nurse Comparison0

1

2

3

4

5

6

Nurse Comparison

PIAT  Scores  -­‐  Reading  &  Math  –  Age  12  (Born  to  Low-­‐Resource  Mothers)  

80

85

90

Nurse Comparison

Percent  of  Mothers  with  Role  Impairment    due  to  Alcohol  or  Drug  Use  –  Child  Age  12  

0

1

2

3

Nurse Comparison

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2

PROSPER  (Community/University  Partnership)  Reduces  Illicit  Substance  Use  

Sum  of  six  lifetime  illicit  use  measures  (methamphetamines,  Ecstasy,  inhalants,  Vicodin,  prescription  drug  misuse  overall,  other  illicit  drug  use);  Intervention  vs.  Control  difference  in  slope  is  statistically  significant,  as  are  differences  at  multiple  time  

points,  including  11th  and  12th  grades.  

Reduced  Increase  in  Use  Through  6½  Years  Past  Baseline  

0.00  

0.50  

1.00  

1.50  

2.00  

2.50  

Grade  6   Grade  7   Grade  8   Grade  9   Grade  10   Grade  11   Grade  12  

 Control  

 Interven�on  

Source:  Spoth,  Redmond,  Shin,  Greenberg,  Feinberg,  et  al.  (2013).  PROSPER  community-­‐university  partnerships  delivery  system  outcomes  through  6½  years  past  baseline.    

Higher  Risk  =  Lifetime  initiation  of  alcohol,  cigarette  or  marijuana  use  at  baseline;    Lower  Risk  =  No  initiation  at  baseline.    

Intervention  effects  are  significantly  stronger  for  the  Higher-­‐Risk  subgroup,  as  compared  to  the  Lower-­‐Risk  Subgroup.  

Greater  Impact  of  PROSPER  on  High  Risk  Youth  Through  6½  Years  Past  Baseline  

0.00  

0.50  

1.00  

1.50  

2.00  

2.50  

3.00  

Grade  6   Grade  7   Grade  8   Grade  9   Grade  10   Grade  11   Grade  12  

   Higher-­‐Risk  in  Control  

   Lower-­‐Risk  in  Control  

   Higher-­‐Risk  in  Interven�on  

   Lower-­‐Risk  in  Interven�on  

PROSPER  (Community/University  Partnership)  Reduces  Illicit  Substance  Use  

Source:  Spoth,  Redmond,  Shin,  Greenberg,  Feinberg,  et  al.  (2013).  PROSPER  community-­‐university  partnerships  delivery  system  outcomes  through  6½  years  past  baseline.    

Interventions  Can  Influence  the  Behaviors  of  Nonparticipants  Through  Friendship  Networks  

Adolescents  with  3+  friends  participating  in  the  Strengthening  Family  Program  were  less  likely  to    use  cigarettes  or  get  drunk  than  those  who  had  no  friends  in  the  program  (3  yrs  post  intervention).  

Effects  primarily  diffused  through  friendship  networks  by  reducing  unsupervised  time  with  friends,  changing  friends’  attitudes  about  SU,  and  then  changing  nonparticipants  attitudes  about  SU.  

0%  

5%  

10%  

15%  

20%  

25%  

baseline   post-­‐test   1  yr  FU   2  yr  FU   3  yr  FU  

%  Repor�n

g  An

y  Past  M

onth  

Drunkeness  

0  SFP  friends  

1  SFP  friend  

2  SFP  friends  

3+  SFP  friends  

interven�on  implemented  

Kelly  et  al.,  J  Adolesc  Health  2015  

0%  

5%  

10%  

15%  

20%  

25%  

baseline  post-­‐test   1  yr  FU   2  yr  FU   3  yr  FU  

%  Repor�n

g  An

y  Past  M

onth  Cigare�

e  Use  

0  SFP  friends  

1  SFP  friend  

2  SFP  friends  

3+  SFP  friends  

interven�on  implemented  

Preven�ve  Interven�ons  Can  Have  Long-­‐term  Effects  on  Drug  

Use  and  Abuse  

Responding  to  Shifting  Drug  Use  and  Policy  Environments  

 MARIJUANA:  The  shifting  legal  landscape  suggests  possible  population  impacts  

 E-­‐CIGARETTES:  Both  potential  promise  for  established  tobacco  users  and  concern  for  increasing  adolescent  use  

 OPIOIDS:    Impacts  on  public  health  in  the  USA  starting  with  over-­‐exposure  to  prescription  opioids  

2013  OD  Deaths:    16,235  Rx  opioid  

–  (16,917  in  –  )  

  8,257  Heroin    –  (4,397  in  2011)bb  

Slight  Reductions  in  Rx  Opioid-­‐Related  Deaths  but  Marked  Increases  in  Heroin    

Sources:    National  Vital  Statistics  System,  CDC  

 –  (16,007  in  2012  and  16,917  in  2011)  

–  (5,927  in  2012  and  4,397  in  2011)  

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3

Overall  Increases  in  Deaths  in  45-­‐54  Year  Old,  White,  Non-­‐Hispanics  in  USA  (Compared  to  Others)  

U.S.  Whites  France  Germany  U.S.  Hispanics  United  Kingdom  Canada  Australia  Sweden  

Case  and    Deaton,  PNAS,  2  November  2015  

Major  Causes:    Drug  

Overdose  

  Alcohol  

  Suicide  

0  

1  

2  

3  

4  

5  

6  

7  

2003  2004  2005  2006  2007  2008  2009  2010  2011  2012  2013  2014  

Rx  Opioid  Use  

High  Rates  of  Rx  Opioid  Abuse:    12-­‐Month  Prevalence  of  Rx  Opioid  Misuse,  USA  Ages  18-­‐64,  

2003-­‐2014  

%

Data  sources:  Han,  Compton  et    al.  JAMA  October  13,  2015;  SAMHSA’s  National  Survey  on  Drug  Use  and  Health  (NSDUH)  data,  2003-­‐2014,  adults  aged  18-­‐64  in  the  United  States.    

Trend,  p  <  .001  

0  

0.2  

0.4  

0.6  

0.8  

1  

1.2  

2003  2004  2005  2006  2007  2008  2009  2010  2011  2012  2013  2014  

100+  Days  

Increasing  Frequent  Rx  Opioid  Misuse:    12-­‐Month  Prevalence  of  100+  days  Rx  Opioid,  USA  Ages  18-­‐64,  

2003-­‐2014  

% Trend,  p  <  .001  

Data  sources:  Han,  Compton  et    al.  JAMA  October  13,  2015;  SAMHSA’s  National  Survey  on  Drug  Use  and  Health  (NSDUH)  data,  2003-­‐2014,  adults  aged  18-­‐64  in  the  United  States.    

0  

0.2  

0.4  

0.6  

0.8  

1  

1.2  

2003  2004  2005  2006  2007  2008  2009  2010  2011  2012  2013  2014  

Opioid  Ab/Dep  

Increasing  Rx  Opioid  Abuse/Depedence:    12-­‐Month  Prevalence  of  Rx  Opioid  Ab/Dep,  USA  Ages  18-­‐64,  2003-­‐2014  

% Trend,  p  <  .001  

Data  sources:  Han,  Compton  et    al.  JAMA  October  13,  2015;  SAMHSA’s  National  Survey  on  Drug  Use  and  Health  (NSDUH)  data,  2003-­‐2014,  adults  aged  18-­‐64  in  the  United  States.    

0.0  

0.5  

1.0  

1.5  

2.0  

2.5  

3.0  

3.5  

4.0  

4.5  

5.0  

2003  

2004  

2005  

2006  

2007  

2008  

2009  

2010  

2011  

2012  

2013  

2014  

Rx  Opioid  Use  Without  100+  or  Ab/Dep  

Opioid  Ab/Dep  

100+  Days  

Increasing  Intensity  of  Opioid  Misuse:    12-­‐Month  Prevalence  of  Rx  Opioid  Misuse  without  Frequent  Use  or  Ab/Dep,  

Rx  Opioid  Ab/Dep,  100+  days  Rx  Opioid  in  USA  Ages  18-­‐64,  2003-­‐2014  

%Trends,  p  <  .001  

Data  sources:  Han,  Compton  et    al.  JAMA  October  13,  2015;  SAMHSA’s  National  Survey  on  Drug  Use  and  Health  (NSDUH)  data,  2003-­‐2014,  adults  aged  18-­‐64  in  the  United  States.    

Patrick  SW,  Davis  MM,  Lehman  CU,  Cooper  WO.  Increasing  incidence  and  geographic  distribution  of  neonatal  abstinence  syndrome:  United  States  2009  to  2012.  J  Perinatol.  2015  Aug;35(8):667.  doi:  10.1038/jp.2015.63.  PubMed  PMID:  26219703.    

Increasing  Neonatal  Abstinence  Syndrome  Incidence  &  Geography,  U.S.  2009-­‐2012  

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4

Opioids  Lead  to  Infectious  Diseases:    Outbreak  of  HIV  Linked  to    

Oxymorphone  Injection  Drug  Use  

80% 3%

17% (23)

     

Injection  Drug  Use  

No  Injection  Drug  Use  Not  Interviewed  to  Determine  Status  

All  reported  injecting  tablets  of  oxymorphone  As  drug  of  choice    

84.4%      114      co-­‐infected  with  Hepatitis  C    

Reported  average  of  9  syringe-­‐sharing  partners,  sex  partners,    or  other  social  contacts  at  risk    for  HIV  infection                                                                        contacts                                    

373  

4  

108  

162      HIV  Infections  in  Indiana  Community  of  4200    

61.7%

4.6%

247        located  

47% 53%

     

109  121  HIV-­‐  HIV+  

112  

230      tested  

128        not  located  

57.8% 42.2%

     

74  54  

syringe-­‐sharing    or  sex  partners  

social  contacts    regarded  as  at    high  risk  for    HIV  

Similarities  of  Illicit  &  Prescription  Opioids  

Prescription  Opioids  Before  Heroin:  Shifting  Pattern  of  Heroin  v.  Rx  Opioid  First        

Percentage  of  Heroin-­‐Addicted  Treatment  Admissions  that  Used  Heroin  or  Prescription  Opioid  as  First  Opioid  

Source:  Cicero  et  al.  JAMA  Psychiatry.  2014;71(7):821-­‐826  

1960s:  more  than  80%  started  with  heroin.    2000s:    75%  started  with  prescription  opioids.    2010-­‐2013:    Increasing  initiation  with  heroin  

Marked  Increases  in  Heroin:      Past  Year  Heroin  Use,  Persons  Aged  12+,    2003-­‐2014  

314  398   379  

560  

373  455  

582  621   620  

669  

914+  

0  

100  

200  

300  

400  

500  

600  

700  

800  

900  

1,000  

2003   2004   2005   2006   2007   2008   2009   2010   2011   2012   2013   2014  

681  

+  p  <  .05

Numbers  in  Thousands  

Source:    SAMHSA,  2014  National  Survey  on  Drug  Use        

Overlap  of  Benzodiazepines  and  Opioids    Opioid  Analgesic  ED  Visits  and  OD  Deaths  Involving  Benzodiazepines  &  

Benzodiazepine  ED  Visits  and  OD  Deaths  Involving  Opioids  

0  

10  

20  

30  

40  

50  

60  

70  

80  

90  

Deaths  Involving  Benzodiazepines  

ED  Visits  Involving  Benzodiazepines  

Deaths  Involving  Opioid  Analgesics  

ED  Visits  Opioid  Analgesics  

2004 2005 2006 2007 2008 2009 2010 2011

Perc

ent  

Opioid  Analgesics   Benzodiazepines  

Source:  CM  Jones,  J  Mcaninch  analysis  of  CDC/NVSS  and  SAMHSA/DAWN  Public  Use  Files,  FDA,  2014,  (In  Press)  

AAPC  =  8.4%  (95%  CI  7.1%-­‐9.7%)  AAPC  =  3.0%  (95%  CI  1.3%-­‐4.8%)  

AAPC  =  1.5%  (95%  CI  0.8%-­‐2.2%)  

AAPC  =  4.5%  (95%  CI2.4%-­‐6.6%)  

Secretary  Burwell’s/HHS  Opioid  Priority  Areas  

Ø Opioid  prescribing  practices  to  reduce  opioid  use  disorders  and  overdose  

Ø  The  expanded  use  of  naloxone,  used  to  treat  opioid  overdoses  

http://aspe.hhs.gov/sp/reports/2015/OpioidInitiative/es_OpioidInitiative.pdf    

Ø  Expanded  use  of  medication-­‐assisted-­‐treatment  (MAT)  for  opioid  use  disorders  

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5

How  Can  NIH/NIDA  Research  Help?  

 PAIN:  Less  Abusable  Analgesics  and  Alternative  Therapeutics   OVERDOSES:  User  Friendly  Naloxone   PREVENTION:    Universal  Prevention   ADDICTION:  New  Medications  and  Immunotherapies    IMPLEMENTATION  SCIENCE:  Greater  Use  of  Evidence  

 Near  Tripling  of  Opioid  Prescriptions  Dispensed  by  U.S.  Retail  Pharmacies,  Years  1991-­‐2013                              

       IMS  Health,  Vector  One®:  National,  Years  1991-­‐2011,  Data  Extracted  2012          IMS  Health,  National  Prescription  Audit,  Years  2012-­‐2013,  Data  Extracted  2014  

More  than  One  Clinician    (2.6%)  

1Other  category  includes  Wrote  Fake  Prescription,"  "Stole  from  Doctor’s  Office/Clinic/Hospital/Pharmacy,"  and  "Some  Other  Way."  

Free  from    Friend/  

Relative    (53.0%)  

Bought/Took  from    Friend/Relative  

(14.6%)  

Drug  Dealer/  Stranger  (4.3%)  

Bought  on    Internet  (0.1%)  

Other1  (4.3%)  

One  Clinician    (21.2%)  

Source  Where  Respondent  Age  12+  Obtained  Analgesics:      

Free  from    Friend/Relative    

(5.1%)  Bought/Took  from    

Friend/Relative  (4.9%)  

Drug  Dealer/  Stranger  (1.4%)  

One  Clinician    (83.8%)  

More  than    One  Clinician    

(3.3%)  

Bought  on  Internet    (0.3%)  

Other1  (1.2%)  

Source  Where  Friend/Relative  Obtained  

People  Abusing  Analgesics  DIRECTLY  &  INDIRECTLY  Obtain  Them  by  Prescription:    Most  Recent  Pill  Source  

Source:    SAMHSA,  2012  and  2013  National  Survey  on  Drug  Use  and  Health  

Opioid Prescribing Guidelines

Ø  Intended  for  primary  care  providers  Ø  Will  apply  to  patients  >18  years  old  in  chronic  pain  

outside  of  end-­‐of-­‐life  care  Ø  Builds  on  joint  CDC,  NIDA,  ONC,  SAMHSA  summary  

on  “Common  Elements  in  Guidelines  for  Prescribing  Opioids  for  Chronic  Pain”  and  the  NIH  Pathways  to  Prevention  for  Opioids  in  Treating  Chronic  Pain  

Ø  Planned  for  publication  in  January  2016  

Ø  Current  Landscape  for  Guidelines:  §  Small  Number  §  Outdated  §  Not  Conflict  Free  

Ø Solution….  

Clinicians  Need  to  Know…  What  Prescriptions  Have  Been  Given  to  Their  Patients  By  Other  Practitioners  

This  information  should  be:    1.  included  in  the  patients’  

electronic  health  care  records    2.  accessible  through  a  

Prescription  Drug  Monitoring  Program  (PDMP)  that  provides  immediate  information  

   

Decline in Drug Overdose Deaths After State Policy Changes in Florida, 2010–2012

PERIOD

Oxycodone

Alprazolam

Methadone

Heroin

Hydrocodone

Morphine De

ath

s p

er 1

00,0

00 p

op

ula

tion

4.5 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0

Jan-Jun Jan-Jun Jan-Jun Jan-Jun Jan-Jun Jan-Jun Jan-Jun Jul-Dec Jul-Dec Jul-Dec Jul-Dec Jul-Dec Jul-Dec Jul-Dec

2006 2007 2008 2009 2010 2011 2012

A B C D E F G

Semi-Annual Drug Overdose Death Rates* for Selected Drugs, & Selected Prescription Drug Diversion & Misuse Actions Taken, Florida, 2006 – 2012+

*Per 100,000 population. Based on Florida Department of Health resident population estimates. + The source of overdose death data is the Florida Medical Examiners Commission.

Source: CDC, MMWR Vol 63, July 1, 2014.

A.  1/4/2010—Pain clinics must register B.  2/2010—Operation Pill Nation C.  10/1/2010—Pain clinic regulation D.  2/23/2011—Operation Pill Nation—raids E.  7/1/2011—Physician dispensing prohibited & statewide regional strike forces F. 9/1/2011—Mandatory PDMP reporting G. 7/1/2012—Wholesale regulations

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6

Hydrocodone  Declines  (22%)  2014  to  2015:  Opioid  Analgesic  Prescriptions  Dispensed  from  US  Retail  

Pharmacies  for  Select  Opioids  Q4-­‐2009  to  Q2-­‐2015  

30,088,966  

23,384,486  

0  

5,000,000  

10,000,000  

15,000,000  

20,000,000  

25,000,000  

30,000,000  

35,000,000  

Q4  2009  

Q1  2010  

Q2  2010  

Q3  2010  

Q4  2010  

Q1  2011  

Q2  2011  

Q3  2011  

Q4  2011  

Q1  2012  

Q2  2012  

Q3  2012  

Q4  2012  

Q1  2013  

Q2  2013  

Q3  2013  

Q4  2013  

Q1  2014  

Q2  2014  

Q3  2014  

Q4  2014  

Q1  2015  

Q2  2015  

Num

ber  o

f  Prescrip

�ons  Dispensed  

hydrocodone   oxycodone   tramadol   morphine   fentanyl  

Source:    CM  Jones.  NIDA  Webinar  9/1/2015.    Based  on  IMS  Health  National  Prescription  Audit  (extracted  8/24/2015)  Retrieved  from  http://www.drugabuse.gov/news-­‐events/meetings-­‐events/2015/09/latest-­‐prescription-­‐trends-­‐controlled-­‐prescription-­‐drugs.    

**      **      

Universal  Drug  Abuse  Prevention    Reduces  Prescription  Drug  Misuse  

Notes:  General=Misuse  of  narcotics  or  CNS  depressants  or  stimulants.      Source:    R  Spoth  et  al.  American  Journal  of  Public  Health  2013  

In  this  study,  for  100  young  adults  in  general  population  starting  Rx  abuse,  only  35  young  adults  from  an  intervention  community    started.    

**  p<.01;    

Overall,  three  studies  now  suggest  the  impact  of  universal  prevention  on  prescription  drug  abuse.      

15.5%  

13.5%  

5.4%  4.7%  

0%  

4%  

8%  

12%  

16%  

Age  25  General   Age  25  Opioids  

Control  Family  Program  

Another  Key  Emerging  Drug  Issue  in  the  USA:  Status  of  Marijuana  Laws  in  the  USA  

0

10

20

30

40

50

60

70

80

75 77 79 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13

Percentage  of  U.S.  12th  Grade  Students    Reporting  Past  Month  Use  of  Alcohol,  

Cigarettes  

SOURCE:  University  of  Michigan,  2014  Monitoring  the  Future  Study.  

Cigarettes  Alcohol  

Marijuana  

and  Marijuana  

Increasing  Potency  of  Marijuana  (%  Δ-­‐9  THC)  

SOURCE:  University  of  Mississippi  Marijuana  Project  

%  

0

2

4

6

8

10

12

14

16

1995

19

96

1997

19

98

1999

20

00

2001

20

02

2003

20

04

2005

20

06

2007

20

08

2009

20

10

2011

20

12

2013

20

14

∆-9 THC

0

5

10

15

20

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

Percent Who Reported

12th Graders Who Drove After Smoking Marijuana or Drinking Alcohol, 2001-2014

Source:    University  of  Michigan,  2014  Monitoring  the  Future  study,  Unpublished  special  tabula�ons  (December  2014).  

During  the  LAST  TWO  WEEKS,  have  you  driven  a  car,  truck,  or  motorcycle  a�er  …  

…  drinking  alcohol  

…  smoking  marijuana  

Since  2009,  more  high  school  seniors  reported  driving  a�er  smoking  marijuana  than  driving  a�er  drinking  alcohol.  

See  Also:    Driving  Under  the  Influence  of  Non-­‐Alcohol  Drugs  –  An  Update.    Gjerde  H,  Strand  MC,  Mørland  J.    Forensic  Sci  

Rev  27:89;  2015.  

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7

0

20

40

60

80

100

95 96 97 98 99 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14

8th Grade 10th Grade 12th Grade

SOURCE:  University  of  Michigan,  2014  Monitoring  the  Future  Study  

 Denotes  significant  difference  between  2013  and  2014.  

Perceived  Riskiness  of  Smoking  Marijuana  has  Declined  

%  

Perceiving  Great  Risk  of  Smoking  Marijuana  Occasionally

0

20

40

60

80

100

75 77 79 81 83 85 87 89 91 93 95 97 99 01 03 05 07 09 11 13

Past  Year  Use   Perceived  Risk  

 Perceived  Risk  is  Correlated  with  Use  of  Marijuana  

SOURCE:  University  of  Michigan,  2014  Monitoring  the  Future  Study  

 Denotes  significant  difference  between  2013  and  2014.  

%  

12th  Graders’  Use  vs.  Perceived  Risk  of  Occasional  MJ  Use

Non-­‐users  used    1  Dx  

used    2  Dx  

used    3  Dx  

-8

-6

-4

-2

0

2

Average  Point  D

ifference  in  IQ

 score    

(IQ  at  a

ge  38  –  IQ  at  a

ge  13)  

Persistent  Marijuana  Users  Show  Significant  IQ  Drop    between  Childhood  and  Midlife  

 

Source:  Meier  MH  et  al.,  PNAS  Early  Edition  2012  

Followed  1,037  individuals  from  birth  to  age  38.    Tested  marijuana  use  at  18,  21,  26,  32  and  38.    Tested  for  IQ  at  ages  13  and  38    

Silins,  et  al.,  Lancet  Psychiatry  2014;1:286-­‐293  

HS Complete

Never  

<  Monthly  

Monthly  +  

Weekly  +  

Daily  

0  

0.2  

0.4  

0.6  

0.8  

1  

1.2  

HS  Complete  

O.R.  

0  

5  

10  

15  

20  

Cannabis  Depend  

O.R.  

0  

2  

4  

6  

8  

10  

Other  Illicit  Drug  

O.R.  

0  1  2  3  4  5  6  7  8  

Suicide  Attempt  

O.R.  

More  Teenage  Use  of  Cannabis  Associated  with  Worse  Outcomes  in  20’s  (3  Australia/New  Zealand  Studies)  

Cannabis  Associated  with  Schizophrenia    

Giordano, Ohlsson, Sundquist, Sundquist, Kendler Psychological Medicine 2015  

Baseline After 1 Yr After 5 Yrs After 7 Yrs

General Pop'n 10.44 9.19 5.95 4.24

Relative Pairs:

1st Cousin 9.40 8.37 5.85 4.05

Paternal 1/2 Sib 9.15 8.42 6.12 4.18

Maternal 1/2 Sib 6.00 5.85 3.42 2.58

Full Sibs 5.07 4.47 2.80 1.98

MZ Twins* 3.92 3.38 2.63 1.67

* Extrapolated

Risk (Odds Ratios) of hospital diagnosis of schizophrenia after prior registration for cannabis abuse in: (i) general population and (ii) co-

relatives, allowing time from exposure to disease to vary by 1-7 years

Adolescent  Brain  Cognitive  Development  National  Longitudinal  Study    

NIDA,  NIAAA,  NCI,  NICHD,  NIMHD,  ORWH,  NIMH,  NINDS,  OBSSR  

Ten  year  longitudinal  study  of  10,000  children  from    

age  10  to  20  years  to  assess  effects  of  drugs  on    individual  brain  development  trajectories          

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8

Electronic  Nicotine  Delivery  Systems—E-­‐cigarettes:    Promise  and  Peril  

PROMISING  for  tobacco  cessation?  PERILOUS  for  new  onset  addiction?  

More  Youth  Use  E-­‐Cigarettes  Than  Tobacco  Cigs  

Monitoring  the  Future  Study  2014,  University  of  Michigan  

0  

2  

4  

6  

8  

10  

12  

14  

16  

18  

8th  Grade   10th  Grade   12th  Grade  

Tobacco  Cigare�es  

E-­‐Cigare�es  

Past  Month  Use  of  E-­‐Cigs  vs.  Traditional  Cigarettes  in  the  2014  Monitoring  the  Future  Study  of  8th,  10th  and  12th  Grade  Students  in  USA  

8.1%  

16.2%  17.1%  

4.0%  

7.2%  

13.6%  

Large  Numbers  of  Youth  in  USA  Using  E-­‐Cigarettes  Without  Prior  Use  of  Tobacco  

Monitoring  the  Future  Study  2014,  University  of  Michigan  

0  

2  

4  

6  

8  

10  

12  

14  

16  

18  

20  

8th  Grade   10th  Grade   12th  Grade  

E-­‐Cigs  Only  

E-­‐Cigs  and  Any  Life�me  Tobacco  

Past  Month  Use  of  E-­‐Cigarettes    Among  Youth  with/without  Any  Lifetime  Use  of  Tobacco  Cigarettes  or  Smokeless  Tobacco  in  the  2014  Monitoring  

the  Future  Study  of  8th,  10th  and  12th  Grade  Students  in  USA  

36%  

30%  

21%  

Risk  for  Onset  and  Outcomes  from  E-­‐Cigs  

2012-­‐2013    U.S.  study  of  12-­‐17  year  olds  (n=13,561),  first  tobacco  product  was  flavored  among  users:  

 Cigarettes  50%  

 Smokeless  69%  

 E-­‐Cigarettes  81%  Ambrose,  et  al.    JAMA,  26  October  2015  

In  a  one  year  prospective  study  of  14  year  old  students,  E-­‐Cigarette  use  predicted  onset  of:    

 Any  combustible  2.75  AOR  

 Combustible  cigs  1.73  AOR  Leventhal,  et  al.      JAMA  2015;314(7):700-­‐707.  

Nicotine  Effects  Particularly  Impacts  Adolescent  Brain  

Schochet  AE,  et  al.    Neuroscience  135  (2005)  285–297  

Adolescent   Adult  

Nicotine  up-­‐regulates  arc  (involved  in  synaptic  plasticity)  in  adolescents  but  not  adults  (rodent  models)  

Levine  A.  et  al.,  Sci  Transl  Med.  2011  

Nicotine  enhances  response  to  cocaine  in  adolescents  but  not  adults  (rodent  models)  

Many  Factors  Lead  to  Drug  Abuse  and  Addic�on  

Addic�on  

DRUG  

Brain  Mechanisms  

Biology/Genes  

John

 Sm

ith  Ja

mes

 Sm

ith  

Ann  Jo

nes  

John

 Jone

s  

Mar

y  Hi

ll  

Walte

r  Jo

nes  

Jam

es  H

ill  

Susa

n    A

dam

s  

Alice  Pr

ice  Th

omas

 Jone

s  

William

 Pric

e  

Rich

ard  Hi

ll  

Stev

en      Ad

ams  

Allis

on      Fields

 

Mar

y  W

alte

rs  

Alice    Ben

son  

Rebe

cca    W

ilson

 

Thom

asSm

ith  Jo

hn  Sm

ith  Ed

war

dSm

ith  

Anne

Cook

 Jane

Walke

r  John

 Walke

r  

Jane

Jone

s  

Susa

n    Edw

ards

 

Jam

esCo

ok  

Beth

 Bry

son  Jo

nath

anCo

ok  

Edwar

d  Br

yson

 Am

y  M

ason

 

Beth

     Ca

rter

 

Environment  Policies  

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9

Summary    Universal  Risk-­‐based  Prevention  is  an  essential  standard,  BUT  

  The  shifting  landscape  of  drug  use  suggests  the  potential  value  of  drug-­‐specific  approaches  as  well.    

  Current  and  emerging  drug  abuse  issues  require  our  creative  and  vigorous  responses  

www.drugabuse.gov  


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