Age-Specific Risk of Substance Use Disorders Associated With Controlled Medication Use and Misuse Subtypes in the United States

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dc.contributor.authorMcCabe, Sean Esteban
dc.contributor.authorWilens, Timothy E.
dc.contributor.authorBoyd, Carol J.
dc.contributor.authorChua, Kao-Ping
dc.contributor.authorVoepel-Lewis, Terri
dc.contributor.authorSchepis, Ty S.
dc.date.accessioned2020-03-13T17:14:27Z
dc.date.available2020-03-13T17:14:27Z
dc.date.issued2019-03
dc.description.abstractObjective: To examine the age-specific risk of past-year substance use disorders (SUDs) associated with use and misuse of prescription opioids, stimulants, sedatives and tranquilizers. Methods: The authors analyzed nationally representative data from 114,043 U.S. individuals aged 12 and older in the 2015-2016 National Survey on Drug Use and Health. For each controlled medication class, logistic regression was used to model any past-year SUD as a function of use pattern: no use or misuse, use without misuse, prescription drug misuse (PDM). Among individuals reporting PDM, logistic regression was used to model any past-year SUD as a function of PDM subtype (misuse of someone else's medication only, misuse of one's own medication only, and misuse of one's own and someone else's medication). Analyses were stratified by age group. Results: Controlled medication use was associated with higher odds of any past-year SUD compared to no use in many age groups and medication classes. Compared to non-use, PDM was associated with higher odds of any past-year SUD across virtually all age groups and medication classes. Compared to misuse of one's own medication only, misuse of both someone else's and one's own medication was associated with higher odds of any past-year SUD for many age groups and medication classes among individuals reporting PDM. Conclusions: Clinicians should screen all controlled medication users for PDM and SUDs. Age-specific screening may be required due to heterogeneity in the prevalence and risks of use and misuse of different medications. Determination of PDM subtype can guide interventions to prevent SUDs.
dc.description.departmentPsychology
dc.description.versionThis is the accepted manuscript version of an article published in Addictive Behaviors.
dc.formatText
dc.format.extent19 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationMcCabe, S. E., Wilens, T. E., Boyd, C. J., Chua, K.-P., Voepel-Lewis, T., & Schepis, T. S. (2019). Age-specific risk of substance use disorders associated with controlled medication use and misuse subtypes in the United States. Addictive Behaviors, 90, pp. 285–293.
dc.identifier.doihttps://doi.org/10.1016/j.addbeh.2018.11.010
dc.identifier.issn0306-4603
dc.identifier.urihttps://hdl.handle.net/10877/9446
dc.language.isoen
dc.publisherElsevier
dc.sourceAddictive Behaviors, 2019, Vol. 90, pp. 285–293.
dc.subjectepidemiology
dc.subjectopioid
dc.subjectstimulant
dc.subjectsubstance use disorder
dc.subjectbenzodiazepine
dc.titleAge-Specific Risk of Substance Use Disorders Associated With Controlled Medication Use and Misuse Subtypes in the United States
dc.typeArticle

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