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1 Funding Funding Adolescents’ Nonmedical Use Adolescents’ Nonmedical Use of of Prescription Opioid Prescription Opioid Analgesics Analgesics Pain, Opioids, and Addiction: An Urgent Problem for Doctors and Patients Natcher Auditorium (NIH) March 5-6, 2007 Carol J. Boyd, PhD, MSN, FAAN Carol J. Boyd, PhD, MSN, FAAN Professor, Nursing and Women’s Studies Professor, Nursing and Women’s Studies Director, Institute for Research on Women Director, Institute for Research on Women & Gender & Gender University of Michigan, Ann Arbor University of Michigan, Ann Arbor [email protected] [email protected]
Transcript

1

FundingFunding

Adolescents’ Nonmedical Use Adolescents’ Nonmedical Use of of

Prescription Opioid AnalgesicsPrescription Opioid Analgesics

Pain, Opioids, and Addiction: An Urgent Problem for Doctors and Patients Natcher Auditorium (NIH)

March 5-6, 2007

Carol J. Boyd, PhD, MSN, FAANCarol J. Boyd, PhD, MSN, FAANProfessor, Nursing and Women’s Studies Professor, Nursing and Women’s Studies

Director, Institute for Research on WomenDirector, Institute for Research on Women & Gender& GenderUniversity of Michigan, Ann ArborUniversity of Michigan, Ann Arbor

[email protected]@umich.edu

2

FundingFunding

National Institute on Drug Abuse National Institute on Drug Abuse (NIDA)(NIDA)

DA018271DA018271 (PI: Boyd with McCabe, Teter) (PI: Boyd with McCabe, Teter)T32DA07267T32DA07267 (PI: Boyd) McCabe, Teter & (PI: Boyd) McCabe, Teter &

Young, Young, (previous T32 post-doctoral fellows)(previous T32 post-doctoral fellows)

DA018239DA018239 (PI: McCabe with Boyd, Teter) (PI: McCabe with Boyd, Teter)

National Institute on Alcoholism National Institute on Alcoholism and Alcohol Abuse (NIAAA)and Alcohol Abuse (NIAAA)

AA014601 AA014601 (PI: Young with Boyd)(PI: Young with Boyd)

FundingFunding

3

ContributorsContributors

James A. Cranford, PhD.James A. Cranford, PhD.Sean E. McCabe, PhD., MSW.Sean E. McCabe, PhD., MSW.Michele Morales, PhD, MSWMichele Morales, PhD, MSW

Christian Teter, PharmD Christian Teter, PharmD Amy B. Young, PhD.Amy B. Young, PhD.

______________________________________________________________________________________Also: Also: Scott Crawford, Survey Sciences GroupScott Crawford, Survey Sciences Group

Duston Pope, Market Strategies, IncDuston Pope, Market Strategies, IncAnonymous School District and UniversityAnonymous School District and University

4

THE PURPOSETHE PURPOSE

To consider the conceptual implications of To consider the conceptual implications of the term the term nonmedical use of nonmedical use of prescription opioidsprescription opioids

To review data from four different studies: To review data from four different studies: National Survey on Drug Use and Health (NSDUH); National Survey on Drug Use and Health (NSDUH);

Monitoring the Future (MTF), Student Life Survey Monitoring the Future (MTF), Student Life Survey (SLS) and Secondary Student Life Survey (SSLS)(SLS) and Secondary Student Life Survey (SSLS)

To highlight characteristics of adolescent To highlight characteristics of adolescent nonmedical users of opioid analgesicsnonmedical users of opioid analgesics Focus on motivation (to use) and diversion (to whom)Focus on motivation (to use) and diversion (to whom)

5

THE PROBLEMTHE PROBLEM

Studies indicate that the nonmedical use of Studies indicate that the nonmedical use of prescription medications is increasing in the U.S. prescription medications is increasing in the U.S. among adolescents and young adults.among adolescents and young adults. (See: Johnston et al., (See: Johnston et al., 2004, 2005; McCabe, et al., 2007; NSDUH, 2006)2004, 2005; McCabe, et al., 2007; NSDUH, 2006)

The nonmedical use of prescription medications is The nonmedical use of prescription medications is associated with higher rates of tobacco, alcohol and associated with higher rates of tobacco, alcohol and other drug use other drug use (See: Boyd, et al, 2004, 2006; McCabe, Boyd, et al 2005, 2006)(See: Boyd, et al, 2004, 2006; McCabe, Boyd, et al 2005, 2006)

The nonmedical use of opioid medication continues The nonmedical use of opioid medication continues to dominate to dominate (See NSDUH, 2005):(See NSDUH, 2005):

5% of 12 to 17 year olds reported nonmedical use of scheduled pain medications*;12% of 18 to 25 year olds reported nonmedical use of scheduled pain medications*.

* lifetime

6

This is a term that has been used by This is a term that has been used by researchers to include such varied researchers to include such varied

behavior as medication misuse, behavior as medication misuse, medication abuse, prescription drug medication abuse, prescription drug

misuse and prescription drug abuse. misuse and prescription drug abuse.

What is …What is …“NONMEDICAL USE OF “NONMEDICAL USE OF

PRESCRIPTION PRESCRIPTION OPIOIDS?”OPIOIDS?”

7

CONCEPTUAL CONCEPTUAL CONFUSIONCONFUSION

Non-medical use of Prescription Drugs

(NMUPD)

Medication Misuse

Medication Abuse

Prescription Drug Misuse

Prescription Drug Abuse

TODAY WE WILL FOCUS ONLY ON PRESCRIPTION DRUG MISUSE AND ABUSE

8

Prescription Drug Prescription Drug Misuse (PDM)Misuse (PDM)

DEFINITION:DEFINITION:

The intentional use of The intentional use of someone else’s someone else’s prescription prescription medication for the medication for the purpose of alleviating purpose of alleviating symptoms that may be symptoms that may be related to a health related to a health problem. problem.

ATTRIBUTES:ATTRIBUTES:

No legal prescription No legal prescription for the drugfor the drug

Use is intentionalUse is intentional Perceived barriers to Perceived barriers to

medical care ( e.g. a medical care ( e.g. a prescription is not prescription is not available to the person)available to the person)

Motive is to relieve a Motive is to relieve a condition for which the condition for which the medication, when medication, when prescribed, is generally prescribed, is generally intended (e.g. pain). intended (e.g. pain).

9

Case Example #1Case Example #1A 21 year old is working full-A 21 year old is working full-time as a line-cook in a time as a line-cook in a restaurant. He slices-off the restaurant. He slices-off the tip of his finger. The tip of his finger. The manager* takes the young manager* takes the young man (and his fingertip) to the man (and his fingertip) to the nearest ED; on the drive to nearest ED; on the drive to the hospital the manager the hospital the manager gives him a Vicodin saying, gives him a Vicodin saying, “you will be waiting a long “you will be waiting a long time, you will need this”. He time, you will need this”. He takes the pill. The young man takes the pill. The young man is treated in the ED. The ED is treated in the ED. The ED physician gives the young physician gives the young man a prescription for Vicodin man a prescription for Vicodin for pain and tells him to see for pain and tells him to see his primary care provider in his primary care provider in one week.**one week.**

* The manager is engaging in the diversion of a scheduled medication, this is illegal.**At any point, had the cook taken more than his prescribed dose to relieve pain, this would have been medication misuse; if he had saved his prescribed medication for a later time, then taken it to get a “buzz”, this would be medication abuse.

10

Case Example #2Case Example #2

On a Friday afternoon, a On a Friday afternoon, a 16-year-old teen, an honor 16-year-old teen, an honor student, is planning to student, is planning to attend “Homecoming” attend “Homecoming” with her new boyfriend. with her new boyfriend. Four hours before the Four hours before the event, she develops a event, she develops a severe migraine severe migraine headache. In tears, she headache. In tears, she asks her mother for help. asks her mother for help. Her mother gives her a Her mother gives her a hydrocodone tablet (left hydrocodone tablet (left over from her own over from her own surgery). The teen went surgery). The teen went to the event and “had a to the event and “had a great time.”great time.”

11

Prescription Drug Abuse Prescription Drug Abuse (PDA)(PDA)

DEFINITION:DEFINITION:

The use of a The use of a scheduled scheduled prescription prescription medication to medication to experiment, to get experiment, to get high or to create an high or to create an altered state. altered state.

ATTRIBUTES:ATTRIBUTES:

No legal prescription No legal prescription for the drugfor the drug

Use is intentionalUse is intentional May involve use in May involve use in

combination with other combination with other drugsdrugs

May involve delivering May involve delivering in a wrongful manner in a wrongful manner (e.g. IV, skin-popping, (e.g. IV, skin-popping, snorting or smoking).snorting or smoking).

Motive to experiment, Motive to experiment, get high or to alleviate get high or to alleviate withdrawal symptoms withdrawal symptoms

12

Case ExampleCase Example

A 22 year old girl with a A 22 year old girl with a history of alcohol abuse history of alcohol abuse is given an oxycodone is given an oxycodone tablet by a friend; she tablet by a friend; she wants to experiment to wants to experiment to see “what it does”. She see “what it does”. She crushes the pill and crushes the pill and snorts it. She snorts it. She continues to purchase continues to purchase the “Oxy” from a friend the “Oxy” from a friend when she wants to when she wants to party. party.

13

Epidemiological Sources:Epidemiological Sources:Adolescents and Young AdultsAdolescents and Young Adults

National Survey on Drug Use and National Survey on Drug Use and Health (NSDUH)Health (NSDUH)

Monitoring the Future (MTF)Monitoring the Future (MTF) Student Life Survey (SLS)Student Life Survey (SLS) Secondary Student Life Survey Secondary Student Life Survey

(SSLS)(SSLS)

14

NSDUHNSDUH Nationally representative sample (& by Nationally representative sample (& by

State)State)

Civilian, non-institutional population, Age Civilian, non-institutional population, Age

12+12+

Face-to-face interviewFace-to-face interview

Computer-assisted, self-administeredComputer-assisted, self-administered

68,308 respondents in 200568,308 respondents in 2005

Data comparable with 2002, 2003, and Data comparable with 2002, 2003, and

2004, but not with data prior to 20022004, but not with data prior to 2002

15

National Survey of Drug Use and National Survey of Drug Use and HealthHealth (NSDUH) (NSDUH)

Survey item: Survey item:

Have you ever taken medication that Have you ever taken medication that was was not prescribed for you, or that

you took for the experience or feeling it caused?

(includes: any psychotherapeutics, pain relievers, sedatives, stimulants, tranquilizers)

Medication Abuse

Prescription Drug

Misuse

Prescription Drug

Abuse

16

Nonmedical Use of Nonmedical Use of Prescription Medications, Prescription Medications,

Ages 12-25Ages 12-25Percent Using in Past Year

3.83.2

0.5 0.3 0.4

6.1

1.9

13.6

3.8

12.4

3.6

0.6

7.4

0.2+

1.6

3.5

11.2

0.8

15.0

5.5

0

2

4

6

8

10

12

14

16

Any Psycho-therapeutics

Pain Relievers Stimulants Sedatives Tranquilizers

12-1314-1516-1718-25

NSDUH, 2005

17

Monitoring the FutureMonitoring the Future (MTF)(MTF)

Cross-sectional, school-based survey of U.S Cross-sectional, school-based survey of U.S

(embedded panel for college and beyond)(embedded panel for college and beyond)

Middle, high school and college students, began Middle, high school and college students, began

in 1970’sin 1970’s

Nationally representative sampleNationally representative sample

Questionnaire format, administered in class and Questionnaire format, administered in class and

through follow-up mail surveysthrough follow-up mail surveys

49, 347 respondents in 200549, 347 respondents in 2005

Began asking about specific Rx drugs in 2002 Began asking about specific Rx drugs in 2002

18

Monitoring the FutureMonitoring the Future

Survey Item:Survey Item:

In the past year have you taken In the past year have you taken amphetamines, narcotics other than amphetamines, narcotics other than heroin, etc.… “without a doctor’s heroin, etc.… “without a doctor’s orders?”orders?”

(includes: amphetamines, tranquilizers, sedatives, narcotics other than heroin, OxyContin, Vicodin, Ritalin )

Prescription Drug

Misuse

Prescription Drug

Abuse

Medication Misuse

Medication Abuse

19

Nonmedical Use of Nonmedical Use of Prescription Medications:Prescription Medications:

Grades 8-12, 2005Grades 8-12, 2005Percent Using in Past Year

4.9

2.8

4.8

8.6

7.87.2

6.8

9

0

1

2

3

4

5

6

7

8

9

10

Amphetamines Tranquilizers Sedatives Narcotics otherthan Heroin

8th

10th

12th

Monitoring the FuturePlease note that amphetamines are NOT just prescribed stimulants

20

Annual Prevalence by Annual Prevalence by Gender Gender

0

2

4

6

8

10

12

OxyContin Vicodin Tranquilizers Ritalin

Women Men

Monitoring the Future, 2005 12th grade

21

Student Life SurveyStudent Life Survey

Random sample from a large, Midwestern university (began Random sample from a large, Midwestern university (began

in 1999)in 1999) The entire sample received e-mail invitations describing the The entire sample received e-mail invitations describing the

study; non-respondents were sent up to three e-mail study; non-respondents were sent up to three e-mail reminders.reminders.

Informed consent online before participation Informed consent online before participation Clicked on a link to access the Web survey using a password (PIN).Clicked on a link to access the Web survey using a password (PIN).

4,580 respondents in 2005; Response rate = 66%4,580 respondents in 2005; Response rate = 66%

Includes questions on specific classes of prescription drugsIncludes questions on specific classes of prescription drugs

Students received a token incentive (2005) and became Students received a token incentive (2005) and became

eligible for sweepstakes prizes (2003 & 2005).eligible for sweepstakes prizes (2003 & 2005).

22

Student Life SurveyStudent Life Survey

““On how many occasions in your lifetime (or On how many occasions in your lifetime (or 12 months) have you used the following types 12 months) have you used the following types of drugs, not prescribed to you?” of drugs, not prescribed to you?”

(SKIP PATTERNS, EMBEDDED)(SKIP PATTERNS, EMBEDDED)

Sleep (e.g., Sleep (e.g., AmbienAmbien, , HalcionHalcion, , RestorilRestoril, temazepam, triazolam), sedative/anxiety medication , temazepam, triazolam), sedative/anxiety medication (e.g., (e.g., AtivanAtivan, , XanaxXanax, , ValiumValium, , KlonopinKlonopin, diazepam, lorazepam), stimulant medication (e.g., , diazepam, lorazepam), stimulant medication (e.g., RitalinRitalin, , DexedrineDexedrine, , AdderallAdderall, , ConcertaConcerta, methylphenidate) and pain medication (e.g., opioids , methylphenidate) and pain medication (e.g., opioids VicodinVicodin, , OxyContinOxyContin, , PercocetPercocet, , DarvocetDarvocet, morphine, hydrocodone, oxycodone)., morphine, hydrocodone, oxycodone).

Prescription Drug

Misuse

Prescription Drug Abuse

23

% r

epo

rtin

g m

edic

al u

se

Past Year Medical UsePast Year Medical Use

0

5

10

15

20

25

30

Sleeping Sedative Stimulant Opioid

Women (n=2305) Men (n=2275)

** **

*

•*p < 0.05, ** p < 0.01 based on Pearson chi-square tests Source: McCabe, Teter, Boyd, 2006

24

% r

epo

rtin

g m

edic

al u

se

Past Year Nonmedical UsePast Year Nonmedical Use

0

2

4

6

8

10

12

Sleeping Sedative Stimulant Opioid

Women (n=2305) Men (n=2275)

** **

*

•*p < 0.05, ** p < 0.01 based on Pearson chi-square tests Source: McCabe, Teter, Boyd, 2006

25

Specific Prescription Opioids Specific Prescription Opioids Used Nonmedically Used Nonmedically

(Past Year)(Past Year)

10

14

38

50

0 20 40 60

Propoxyphene (e.g.,Darvon, Darvocet)

Oxycodone (e.g.,OxyContin, Percocet)

Codeine (e.g., Tylenol with codeine)

Hydrocodone (e.g.,Vicodin, Lorcet)

The past year use was 2% or less for fentanyl, hydromorphone, meperidine, methadone, and tramadol.

%

SourceSource: : McCabe, Cranford, Boyd & Teter, 2007"Addict Addict BehavBehav 2006\7 2006\7

SLS, 2005

26

0

10

20

30

40

50

60

70

80

No use (n=3844) Family (n=175) Peer (n=380)

Other (n=31) Unspecified (n=171)

Substance Use by Source of Prescription Opioids Substance Use by Source of Prescription Opioids among College Womenamong College Women

Binge drinking

Marijuana use

Cocaine use

nonmedical drug index

Cigarette smoking

***

***

***

***

***

***

***

***

***

***

***

***

***

***

%

SourceSource: : McCabe, Teter, Boyd McCabe, Teter, Boyd Drug Alcohol Depend 2005; 77:37-47. Drug Alcohol Depend 2005; 77:37-47. SLS, 2003

27

0

10

20

30

40

50

60

70

80

No use (n=2929) Family (n=66) Peer (n=366)

Other (n=34) Unspecified (n=335)

Substance Use by Source of Prescription Opioids Substance Use by Source of Prescription Opioids among College Menamong College Men

Binge drinking

Marijuana use

Cocaine use

nonmedical drug index

Cigarette smoking

***

***

***

***

***

***

***

***

***

***

***

***

***

%

**

Source: Source: McCabe, Teter, Boyd McCabe, Teter, Boyd Drug Alcohol Depend 2005; 77:37-47. Drug Alcohol Depend 2005; 77:37-47. SLS, 2005

28

26

5

11

23

4

23

50

58

0 20 40 60

Unspecified

Other

Family

Peer

Men Women

Gender Differences in Sources for Prescription Gender Differences in Sources for Prescription Opioids Not Prescribed (n=1,387)*Opioids Not Prescribed (n=1,387)*

PeerPeer category consisted category consisted of friends, peers, of friends, peers, roommate, boyfriend, roommate, boyfriend, girlfriend and teammate.girlfriend and teammate.

FamilyFamily category category consisted of mother, consisted of mother, family, parent, father, family, parent, father, sibling, aunt, brother, sibling, aunt, brother, husband and cousin.husband and cousin.

OtherOther category consisted category consisted of don’t know, self, drug of don’t know, self, drug dealer and abroad.dealer and abroad.

**p<.01, ***p<.001

***

**

SourceSource: : McCabe, Teter, Boyd McCabe, Teter, Boyd Drug Alcohol Depend 2005; 77:37-47. Drug Alcohol Depend 2005; 77:37-47.

* 2003 data; check all that apply

29

0

2

4

6

8

10

12

14

16

18

20

No prescribed use (n=3958) Elementary school (n=298)

Secondary school (n=3154) College (n=1036)

Nonmedical Use of Prescription Opioids by Nonmedical Use of Prescription Opioids by Age of Initiation of Medical UseAge of Initiation of Medical Use

Annualnonmedical

useof RX

opioids

(%)

Men

*** ***

*** ******

***

Women

SourceSource: : McCabe, Teter, Boyd McCabe, Teter, Boyd Drug Alcohol Depend 2005; 77:37-47. Drug Alcohol Depend 2005; 77:37-47.

SLS, 2003

30

Gender Differences in Motives for Gender Differences in Motives for nonmedical Use of Prescription Opioidsnonmedical Use of Prescription Opioids

9

15

35

39

60

10

13

18

24

66

0 25 50 75

Helps to decreaseanxiety

Helps me sleep

Experimentation

To get high

Relieves pain

Percent of Respondents

Women (n=343)

Men (n=298)

***

***

*p<.05, **p<.01, ***p<.001SourceSource: : McCabe McCabe Cranford, Boyd & Teter, Add Behaviors,

2007

SLS, 2005; check all that apply

31

n=1901 n=113 n=199 n=1936 n=140 n=181

Motives for Nonmedical Use of Prescription Opioids: Motives for Nonmedical Use of Prescription Opioids: DAST-10 ScoresDAST-10 Scores

0

10

20

30

40

50

60

Men Women

No illicit use

Relieve pain only

Other motives

***

***

% r

epo

rtin

g d

rug

ab

use

bas

ed o

n D

AS

T-1

0

Source: McCabe, Cranford, Boyd & Teter, 2007

SLS, 2005

32

“In college, pain killers are rampant among my friends so I could get it

from them.” (female, White,

sophomore)

“My mother has Tylenol 3 with codeine and I had

a headache one day. She gave that to me so the headache would go

away.” (male, Asian, junior).

“…a friend had some and thought it would be fun to

split a Vicodin while drinking...”

(female, White, junior)

“I tried one pill and had 4 beers.”

(male, White, junior)

“My father is a virtual pharmacy from all his

surgeries. If I'm in pain, he is going to give me

pain medication.” (female, Hispanic,

junior).

PEERS FAMILY

SourceSource: : McCabe, Teter, Boyd McCabe, Teter, Boyd Drug Alcohol Depend 2005; 77:37-47. Drug Alcohol Depend 2005; 77:37-47.

33

Secondary Student Life SurveySecondary Student Life Survey

Random sample of single, ethnically diverse, school Random sample of single, ethnically diverse, school

district in southeastern Michigandistrict in southeastern Michigan

Administered to grades 7-12 Administered to grades 7-12

Web-based, self-administeredWeb-based, self-administered

1,086 respondents in 2005; Response rate = 68%1,086 respondents in 2005; Response rate = 68%

Includes questions on specific classes of prescription Includes questions on specific classes of prescription

drugsdrugs

34

Secondary Student Life Secondary Student Life SurveySurvey

““On how many occasions in your lifetime On how many occasions in your lifetime (or 12 months) have you used the (or 12 months) have you used the following types of drugs, not prescribed following types of drugs, not prescribed to you?” to you?” (SKIP PATTERNS EMBEDDED)(SKIP PATTERNS EMBEDDED)

(e.g., (e.g., AmbienAmbien, , HalcionHalcion, , RestorilRestoril, temazepam, triazolam), sedative/anxiety , temazepam, triazolam), sedative/anxiety medication (e.g., medication (e.g., AtivanAtivan, , XanaxXanax, , ValiumValium, , KlonopinKlonopin, diazepam, lorazepam), stimulant , diazepam, lorazepam), stimulant medication (e.g., medication (e.g., RitalinRitalin, , DexedrineDexedrine, , AdderallAdderall, , ConcertaConcerta, methylphenidate) and pain , methylphenidate) and pain medication (e.g., opioids such as medication (e.g., opioids such as VicodinVicodin, , OxyContinOxyContin, , PercocetPercocet, , DarvocetDarvocet, morphine, , morphine, hydrocodone, oxycodone). hydrocodone, oxycodone).

Prescription Drug

Abuse

Prescription Drug

Misuse

35

Past Year Use of Prescription OpioidsPast Year Use of Prescription Opioidsby Gender, 7by Gender, 7thth-12-12thth grade grade

0

10

20

30

40

50

Medical Use Males Medical Use FemalesNonmedical use Males Nonmedical Use Females

% r

epo

rtin

g p

ast

yea

r p

res

crip

tio

n o

pio

id u

se

n=110 n=235 n=41 n=85

Source: Boyd, McCabe, Cranford, Young, 2006

SSLS, 2005

36

Secondary Student Life SurveySecondary Student Life Survey The lifetime prevalence of nonmedical use was The lifetime prevalence of nonmedical use was

highest for pain medication (17.5%):highest for pain medication (17.5%): Sleeping medication (5.8%), sedative/anxiety mediation Sleeping medication (5.8%), sedative/anxiety mediation

(3.5%), and stimulant medication (2.5%). (3.5%), and stimulant medication (2.5%). Girls were significantly more likely to report Girls were significantly more likely to report

nonmedical use of pain medicationnonmedical use of pain medication (22.2% vs. 12.0%, χ2 = 19.0, df = 1, p < (22.2% vs. 12.0%, χ2 = 19.0, df = 1, p < 0.001).0.001).

No gender differences in nonmedical use of the other No gender differences in nonmedical use of the other classes of prescription drugs. classes of prescription drugs.

White students were more likely than Black White students were more likely than Black students to report nonmedical use of prescription students to report nonmedical use of prescription sedative/anxiety*sedative/anxiety* and stimulant medications**and stimulant medications**

*(4.5% vs. 2.2%, χ2 = 4.2, df = 1, p < 0.05)*(4.5% vs. 2.2%, χ2 = 4.2, df = 1, p < 0.05) **(3.3% vs. 1.3%, χ2 = 4.2, df = 1, p < 0.05). **(3.3% vs. 1.3%, χ2 = 4.2, df = 1, p < 0.05).

Source: Boyd, McCabe, Cranford, Young, 2006

37

Motivations to Misuse: Motivations to Misuse: Reasons Varied by Drug ClassReasons Varied by Drug Class

Students responded about motivations to Students responded about motivations to misuse of opioid analgesics:misuse of opioid analgesics:

80% for the purpose of relieving pain; 80% for the purpose of relieving pain; 16% for the purpose of helping to sleep;16% for the purpose of helping to sleep; 20% for the purpose of getting high; 20% for the purpose of getting high; 3% because they are safer than street drugs.3% because they are safer than street drugs.

(2005 SSLS Data; Check all that apply; (2005 SSLS Data; Check all that apply; Girls=127; Boys=58)Girls=127; Boys=58)

Source: Boyd, McCabe, Cranford, Young, 2006

38

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

90.0%

Relieves Pain Helps Me Sleep Helps DecreaseAnxiety

Gives Me AHigh

CounteractsOther Drugs

Safer ThanStreet Drugs

Experimentation Because I'mAddicted

Females (n=126)

Males (n=58)

*p < .05.

Gender Differences: Gender Differences: Reasons for Nonmedical Reasons for Nonmedical

UseUse

Source: Boyd, McCabe, Cranford, Young, 2006SSLS, 2005; check all that apply

39

Drug Abuse Screening Test Results by Drug Abuse Screening Test Results by Lifetime Prescription Opioid Use, 7Lifetime Prescription Opioid Use, 7thth-12-12thth grades grades

0

5

10

15

20

25

Non-user Medical user only Medical and nonmedical user Nonmedical user only

******

% r

epo

rtin

g t

wo

or

mo

re D

AS

T-1

0 it

ems

*** p < 0.001 based on logistic regression using non-users as reference group and adjusting for gender, race/ethnicity and grade level.

n=535 n=313 n=147 n=35

Source: McCabe, Boyd, Young, 2007SSLS, 2005

40

Nonmedical Use of Opioid Analgesics: Nonmedical Use of Opioid Analgesics: Association with Substance Abuse ProblemsAssociation with Substance Abuse Problems

When the number of motives increased DAST-When the number of motives increased DAST-10 scores increased.10 scores increased. For everyFor every additional motive additional motive

endorsed, the DAST-10endorsed, the DAST-10 increased by a factor of 1.8increased by a factor of 1.8..

The group that endorsed more than one motive The group that endorsed more than one motive was significantly more likely to engage in was significantly more likely to engage in greater marijuana and alcohol use as well.greater marijuana and alcohol use as well.

Source: Boyd, McCabe, Cranford, Young, 2006

SSLS, 2005

41

Drug Abuse Screening Test Results by Drug Abuse Screening Test Results by Lifetime Prescription Drug Use, 7Lifetime Prescription Drug Use, 7thth-12-12thth grades grades

0

5

10

15

20

25

Non-user Medical user only Medical and nonmedical user Nonmedical user only

******

% r

epo

rtin

g t

wo

or

mo

re D

AS

T-1

0 it

ems

*** p < 0.001 based on logistic regression using non-users as reference group and adjusting for gender, race/ethnicity and grade level.

n=499 n=329 n=183 n=35

Source: McCabe, Boyd, Young, 2007SSLS, 2005

42

Diversion Diversion (7(7thth-12-12thth grades) grades)

Thirty-six percent of students reported Thirty-six percent of students reported having a recent prescription for one of having a recent prescription for one of the 4 drug classes. the 4 drug classes. A higher percentage of girls gave away their A higher percentage of girls gave away their

medications than boys medications than boys (27.5% vs. 17.4%, respectively; χ2 9 1 (27.5% vs. 17.4%, respectively; χ2 9 1

= 6.7; = 6.7; PP<.05<.05);); Girls were significantly more likely than Girls were significantly more likely than

boys to divert to female friends boys to divert to female friends (64.0% vs. 21.2%, (64.0% vs. 21.2%,

respectively; χ2 11 1 = 17.5; respectively; χ2 11 1 = 17.5; PP<.01)<.01) while boys diverted to while boys diverted to male friends male friends (45.5% vs. 25.6%, respectively; χ2 12 1 = 4.4; (45.5% vs. 25.6%, respectively; χ2 12 1 = 4.4; PP<.05).<.05).

Ten percent diverted their drugs to parents.Ten percent diverted their drugs to parents.

Source: Boyd, McCabe, Cranford, Young, 2007SSLS, 2005

43

The nonmedical use of prescription medications is increasing in the The nonmedical use of prescription medications is increasing in the U.S. among adolescents and young adults.U.S. among adolescents and young adults. (See: Johnston et al., 2004, 2005; McCabe, et al., 2007; (See: Johnston et al., 2004, 2005; McCabe, et al., 2007; NSDUH, 2006)NSDUH, 2006)

Students who abuse or misuse prescription medications are Students who abuse or misuse prescription medications are significantly more likely to smoke cigarettes, use marijuana and use significantly more likely to smoke cigarettes, use marijuana and use other illegal drugs.other illegal drugs. (Boyd, Teter, McCabe, 2004;(Boyd, Teter, McCabe, 2004; Boyd, McCabe, Teter, 2006; Boyd, McCabe Teter, 2005)Boyd, McCabe, Teter, 2006; Boyd, McCabe Teter, 2005)

College men and high school boys are more likely than their female College men and high school boys are more likely than their female counterparts to obtain prescription opioid medications from peer counterparts to obtain prescription opioid medications from peer sources, while girls/ women from family.sources, while girls/ women from family. ((Boyd, McCabe, Cranford, Young, 2007; McCabe, ((Boyd, McCabe, Cranford, Young, 2007; McCabe, Teter & Boyd, 2005; ) Teter & Boyd, 2005; )

Student NOT obtaining prescription drugs directly via the internet but Student NOT obtaining prescription drugs directly via the internet but they learn about them from the Internet/TV/print media, peers and they learn about them from the Internet/TV/print media, peers and family.family. (Boyd, McCabe, Teter, 2006; McCabe & Boyd, 2005)(Boyd, McCabe, Teter, 2006; McCabe & Boyd, 2005)

SummarySummary

44

SummarySummary

There are measurement issues that make if difficult to determine the extent of the problem:

To what extent are respondents abusing their own prescriptions as opposed to someone else’s?

This form of scheduled medication use/misuse/abuse This form of scheduled medication use/misuse/abuse challenges traditional ideas about substance abusers. challenges traditional ideas about substance abusers.

Self-treatment appears to be one motivation for the Self-treatment appears to be one motivation for the nonmedical use of prescription opioid analgesicsnonmedical use of prescription opioid analgesics (Boyd, McCabe, (Boyd, McCabe,

Cranford, 2006)Cranford, 2006)

Unlike users of many street drugs, there appears to be at least Unlike users of many street drugs, there appears to be at least two groups of nonmedical users of prescription medications: two groups of nonmedical users of prescription medications:

Those to Those to Self-treatSelf-treat; those to get ; those to get High/Experiment/>PerformanceHigh/Experiment/>Performance””


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