Predicting adolescents' persistence, non-persistence, and recent onset of nonmedical use of opioids and stimulants☆
Highlights
► We examined adolescent nonmedical use of prescription opioids and stimulants (NMUOS). ► Results were based on NSDUH data pooled over 7 years, producing a stable analysis. ► Tobacco, alcohol, marijuana, and inhalant use predicted adolescent NMUOS. ► Persistent use of these substances predicted greatest odds of adolescent NMUOS.
Introduction
Over the past several years, adolescents' increasing nonmedical use of opioids and stimulants has become a major concern in the US (Johnston, 2009), with millions of 12–18 year olds using them annually (Substance Abuse and Mental Health Services Administration, 2009). Reflecting the danger of improper use of prescription medications, emergency room visits involving opioid use rose to an estimated 111% between 2004 and 2008 (Substance Abuse and Mental Health Services Administration, 2010). Further societal costs have been noted in both a dramatic increase of opioid-motivated robberies of pharmacies between 2006 and 2010 (Hawley, 2011) and an estimated $150 million of duplicate prescriptions billed to Medicare Part D in 2008 (US Government Accountability Office, 2011). Despite mounting concern, nonmedical use of prescription drugs such as opioids and stimulants remains very much understudied.
Numerous studies have established relationships between nonmedical use or misuse of prescription opioids, stimulants, and other substances (Back et al., 2010, Boyd et al., 2009, Ford, 2009, Goldsworthy and Mayhorn, 2009, Levine and Coupey, 2009, McCabe, Boyd, Cranford and Teter, 2009, McCauley et al., 2010, Schepis and Krishnan-Sarin, 2009, Wu et al., 2008), though many do not classify users into meaningful subtypes (McCabe, Boyd, & Teter, 2009). As research has suggested, there is substantial heterogeneity among nonmedical users of prescription drugs across various dimensions, including motive (Boyd et al., 2006, McCabe, Boyd and Teter, 2009, McCabe, Cranford, Boyd and Teter, 2007, Teter et al., 2005, Teter et al., 2006), route of drug administration, (Compton and Volkow, 2006, McCabe, Boyd and Teter, 2009, McCabe, Cranford, Boyd and Teter, 2007, Teter et al., 2005), co-ingestion, (Compton and Volkow, 2006, McCabe, Boyd and Teter, 2009, McCabe, Cranford and Boyd, 2006) and time of onset (Dowling, Storr, & Chilcoat, 2006). Better identification of user subtypes may help identify those at greatest risk, the correlates of those risks, and the consequences the risks carry, better shaping our understanding and the efficacy of prevention efforts.
Research by Dowling et al. (2006) subtyped users by time of onset, categorizing them into recent onset (< 24 months prior to interview) and persistent users (onset beginning 24 + months prior, with some use indicated within the past year). More recently, other researchers have identified experimentation as a major reason for use of opioids and stimulants by adolescents (McCabe, Boyd, Cranford and Teter, 2009, Teter et al., 2006) and college students (McCabe, Boyd and Teter, 2009, McCabe, Cranford, Boyd and Teter, 2007, Teter et al., 2006).
Numerous studies also have examined demographics related to nonmedical use of prescription drugs. Studies commonly find females more prone to nonmedical use than males (Dowling et al., 2006, Schepis and Krishnan-Sarin, 2008, Teter et al., 2003, Wu et al., 2008). Not surprisingly, the odds of lifetime nonmedical use increase with age as well (Dowling et al., 2006, Havens et al., 2011, Wu et al., 2008). Results have been less consistent for other demographic variables. Some studies have found nonmedical use less common among lower income categories than higher ones (Wu et al., 2010, Wu et al., 2008), but other researchers have come to the opposite conclusion or found no differences (McCabe, Teter and Boyd, 2006, Simoni-Wastila et al., 2008). Similarly mixed results have been observed with race (Daniulaityte et al., 2009, McCabe et al., 2008, McCabe, West, Morales, Cranford and Boyd, 2007, Simoni-Wastila et al., 2008, Wu et al., 2008, Wu et al., 2010), and county type (Havens et al., 2011, McCabe, Boyd and Teter, 2005, McCabe, Teter, Boyd, Knight and Wechsler, 2005, Simoni-Wastila et al., 2008, Wu et al., 2008). Few studies have considered parental status (Havens et al., 2011, Hemovich and Crano, 2009, Hemovich et al., 2011, Schepis and Krishnan-Sarin, 2008), but those that have suggest adolescents from dual parent households are at less risk for substance use than those from other types of family structures.
Because many adolescents discontinue substance use after a short period of experimentation (Botvin & Griffin, 2007), the present study sought to investigate whether adolescents who discontinued the use of a common illicit substance (marijuana, inhalants, etc.) are differentially at risk for use of other drugs relative to those who persist with use, who have recently begun using, or who never have used.
Persistent use of common illicit substances was expected to be associated with nonmedical opioid or stimulant use. Given the consistency of results found in other studies, it was anticipated that females would be more likely to use than males, that odds of use would increase with age, and that adolescents from dual parent households would be at less risk than those from single parent or absent parent households across all categories. No predictions were made with respect to other demographic variables due to the mixed results noted in earlier studies. Differences between persistent, non-persistent, and recent onset users were expected, and though no specific predictions about strength of relationships were made, it is reasonable to expect that polysubstance use would be more likely when nonmedical use of either stimulants or opioids was persistent, rather than transitory.
Section snippets
Study information
Data were pooled from the 2003 through 2009 National Survey of Drug Use and Health (NSDUH), each a representative cross-sectional sample of non-institutionalized civilians collected annually. The NSDUH is one of the primary sources of information on the prevalence of illicit drug use in the United States (Substance Abuse and Mental Health Services Administration, 2009). As other studies have noted, data collected by the NSDUH are amenable to pooling, thereby increasing the sample size and
Opioid use
As expected, females were more likely than males to be lifetime nonmedical users of prescription drugs in all categories, holding constant all other variables in the model (Table 1). Odds of use also increased with age across all subcategories, as predicted. Income results were mixed, with adolescents from households making less than $20,000 a year and those between $20,000 and $49,999 more likely than adolescents from the wealthiest group to be non-persistent or persistent opioid users;
Discussion
The results of these analyses underscore the importance of determining which adolescents are at greatest risk for nonmedical use of opioids and stimulants. Considerable differences were observed between persistent and non-persistent users, and those who had initiated in the past two years. Consistent with expectations derived from prior research (Dowling et al., 2006, Schepis and Krishnan-Sarin, 2008, Teter et al., 2003, Wu et al., 2008), females were at greater risk than males for opioid and
Role of funding sources
Preparation of this research was supported by a grant from the U.S. National Institute on Drug Abuse (R01 DA030490). National Institute on Drug Abuse had no role in the study design, collection, analysis, or interpretation of data, writing the manuscript, or the decision to submit the manuscript for publication.
Contributors
Brandon Nakawaki designed the study, recoded data, conducted analyses, and wrote the first draft of the manuscript. Dr. William Crano revised the manuscript and contributed to the literature review and discussion.
Conflict of interest
All authors declare no conflicts of interest.
Acknowledgements
Drs. Eusebio Alvaro and Jason Siegel are thanked for their comments on an earlier version of this manuscript.
References (57)
- et al.
Gender and prescription opioids: Findings from the National Survey on Drug Use and Health
Addictive Behaviors
(2010) - et al.
Adolescents' nonmedical use of prescription medications and other problem behaviors
Journal of Adolescent Health
(2009) - et al.
Who becomes cannabis dependent soon after onset of use? Epidemiological evidence from the United States: 2000–2001
Drug and Alcohol Dependence
(2005) - et al.
Abuse of prescription drugs and the risk of addiction
Drug and Alcohol Dependence
(2006) - et al.
Illicit use of pharmaceutical opioids among young polydrug users in Ohio
Addictive Behaviors
(2009) - et al.
Prescription medication sharing among adolescents: Prevalence, risks, and outcomes
Journal of Adolescent Health
(2009) Extended families and adolescent well-being
Journal of Adolescent Health
(2005)Prescription drug use by adolescents: What we are learning and what we still need to know
Journal of Adolescent Health
(2009)- et al.
Nonmedical use of prescription medications: An emerging risk behavior among rural adolescents
Journal of Adolescent Health
(2009) - et al.
Illicit use of opioid analgesics by high school seniors
Journal of Substance Abuse Treatment
(2005)
Subtypes of nonmedical prescription drug misuse
Drug and Alcohol Dependence
The relationship between past-year drinking behaviors and nonmedical use of prescription drugs: Prevalence of co-occurrence in a national sample
Drug and Alcohol Dependence
Motives, diversion and routes of administration associated with nonmedical use of prescription opioids
Addictive Behaviors
Trends in prescription drug abuse and dependence, co-occurrence with other substance use disorders, and treatment utilization: Results from two national surveys
Addictive Behaviors
Nonmedical use of prescription opioids among U.S. college students: Prevalence and correlates from a national survey
Addictive Behaviors
Characterizing adolescent prescription misusers: A population-based study
Journal of the American Academy of Child and Adolescent Psychiatry
Sources for prescriptions for misuse by adolescents: Differences in sex, ethnicity, and severity of misuse in a population-based study
Journal of the American Academy of Child and Adolescent Psychiatry
Treatment use and barriers among adolescents with prescription opioid use disorders
Addictive Behaviors
Non-prescribed use of pain relievers among adolescents in the United States
Drug and Alcohol Dependence
Subtypes of nonmedical opioid users: Results from the National Epidemiologic Survey on Alcohol and Related Conditions
Drug and Alcohol Dependence
Summary health statistics for U.S. children: National Health Interview Survey, 2008
Vital and Health Statistics. Series 10, Data from the National Health Survey
School-based programmes to prevent alcohol, tobacco and other drug use
International Review of Psychiatry
Adolescents' motivations to abuse prescription medications
Pediatrics
Increasing prevalence of parent-reported attention-deficit/hyperactivity disorder among children— United States, 2003 and 2007
Morbidity and Mortality Weekly Report
Inhalants
Potential influences on initiation and persistence of extramedical prescription pain reliever use in the US population
The Clinical Journal of Pain
Nonmedical prescription drug use among adolescents
Youth & Society
Discrepancies in estimates of prevalence and correlates of substance use and disorders between two national surveys
Addiction
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The preparation of this research was supported by a grant from the U.S. National Institute on Drug Abuse (R01 DA030490). The contents of this paper are solely the responsibility of the authors and do not necessarily reflect the views of the Institute.