Literature DB >> 31062626

Alcohol use disorder and motives for prescription opioid misuse: A latent class analysis.

Victoria R Votaw1,2, R Kathryn McHugh3,4, Katie Witkiewitz1,2.   

Abstract

Introduction: Among those who misuse prescription opioids, alcohol use disorder (AUD) is associated with progression to opioid use disorder, risk of overdose, and poor treatment outcomes. However, little is known about co-occurring AUD and prescription opioid misuse. Motives, or reasons, for substance use are important factors in substance use initiation and maintenance; characterizing common motives can help inform treatment targets. The aims of the present study were to (1) identify patterns of motives for prescription opioid misuse, and (2) examine the association between AUD and motives.
Methods: Data were extracted from the 2015 National Survey on Drug Use and Health. Analyses included adult respondents with past-year prescription opioid misuse (N = 2,627), of which 24.2% had a co-occurring AUD. Latent class analysis was utilized to identify patterns of motives for prescription opioid misuse. AUD was included as a predictor of class membership.
Results: We identified three classes: (1) pain relief (56.1% of the sample), (2) recreational (e.g., to get high; 29.3%), and (3) mixed motives (e.g., coping, pain relief, recreational; 14.6%). AUD was associated with greater odds of membership in the recreational (OR = 2.05, 95% CI = 1.36, 3.10, p = .001) and mixed motives (OR = 2.11, 95% CI = 1.21, 3.67, p = .008) classes, as compared to the pain relief class.
Results: Pain relief was the most commonly endorsed motive for opioid misuse among those with and without AUD. These results underscore the need to improve pain management among those who misuse prescription opioids. Those with co-occurring AUD might also benefit from interventions targeting negative affect and/or positive outcome expectancies.

Entities:  

Keywords:  Misuse; National Survey on Drug Use and Health; alcohol use disorder; opioids; prescription drugs

Mesh:

Year:  2019        PMID: 31062626      PMCID: PMC6785983          DOI: 10.1080/10826084.2019.1594904

Source DB:  PubMed          Journal:  Subst Use Misuse        ISSN: 1082-6084            Impact factor:   2.164


  43 in total

1.  Dependence symptoms but no diagnosis: diagnostic 'orphans' in a community sample.

Authors:  D Hasin; A Paykin
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2.  Longitudinal association between pain severity and subsequent opioid use in prescription opioid dependent patients with chronic pain.

Authors:  Margaret L Griffin; Katherine A McDermott; R Kathryn McHugh; Garrett M Fitzmaurice; Robert N Jamison; Roger D Weiss
Journal:  Drug Alcohol Depend       Date:  2016-04-25       Impact factor: 4.492

Review 3.  Interrelations between pain and alcohol: An integrative review.

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Journal:  Clin Psychol Rev       Date:  2015-02-25

4.  Meta-analysis of DSM alcohol use disorder criteria severities: structural consistency is only 'skin deep'.

Authors:  S P Lane; D Steinley; K J Sher
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5.  Co-ingestion of prescription opioids and other drugs among high school seniors: results from a national study.

Authors:  Sean Esteban McCabe; Brady T West; Christian J Teter; Carol J Boyd
Journal:  Drug Alcohol Depend       Date:  2012-05-18       Impact factor: 4.492

6.  Opioid Misuse as a Predictor of Alcohol Treatment Outcomes in the COMBINE Study: Mediation by Medication Adherence.

Authors:  Katie Witkiewitz; Victoria R Votaw; Kevin E Vowles; Henry R Kranzler
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8.  Pain as a predictor of heavy drinking and any drinking lapses in the COMBINE study and the UK Alcohol Treatment Trial.

Authors:  Katie Witkiewitz; Kevin E Vowles; Elizabeth McCallion; Tessa Frohe; Megan Kirouac; Stephen A Maisto
Journal:  Addiction       Date:  2015-06-03       Impact factor: 6.526

Review 9.  Movement therapies for the self-management of chronic pain symptoms.

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10.  Motivational subtypes of nonmedical use of prescription medications: results from a national study.

Authors:  Sean Esteban McCabe; James A Cranford
Journal:  J Adolesc Health       Date:  2012-04-05       Impact factor: 5.012

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4.  Subtypes in Patients Taking Prescribed Opioid Analgesics and Their Characteristics: A Latent Class Analysis.

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