Dataset Information

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

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.

SUBMITTER: Votaw VR

PROVIDER: S-EPMC6785983 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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

Votaw Victoria R VR McHugh R Kathryn RK Witkiewitz Katie K

Substance use & misuse 20190507 9

<i>Introduction:</i> 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 pat ...[more]

PMID: 31062626

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Project description:ImportanceBetween 1997 and 2017, the United States saw increases in nonmedical prescription opioid use and its consequences, as well as changes in marijuana policies. Ecological-level research hypothesized that medical marijuana legalization may reduce prescription opioid use by allowing medical marijuana as an alternative.ObjectivesTo investigate the association of state-level medical marijuana law enactment with individual-level nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users and to determine whether these outcomes varied by age and racial/ethnic groups.Design, setting, and participantsThis cross-sectional study used restricted data on 627 000 individuals aged 12 years and older from the 2004 to 2014 National Survey on Drug Use and Health, a population-based survey representative of the civilian population of the United States. Analyses were completed from March 2018 to May 2018.ExposuresTime-varying indicator of state-level medical marijuana law enactment (0 = never law enactment, 1 = before law enactment, and 2 = after law enactment).Main outcomes and measuresPast-year nonmedical prescription opioid use and prescription opioid use disorder among prescription opioid users. Odds ratios of nonmedical prescription opioid use and prescription opioid use disorder comparing the period before and after law enactment were presented overall, by age and racial/ethnic group, and adjusted for individual- and state-level confounders.ResultsThe study sample included 627 000 participants (51.51% female; 9.88% aged 12-17 years, 13.30% aged 18-25 years, 14.30% aged 26-34 years, 25.02% aged 35-49 years, and 37.50% aged ≥50 years; the racial/ethnic distribution was 66.97% non-Hispanic white, 11.83% non-Hispanic black, 14.47% Hispanic, and 6.73% other). Screening and interview response rates were 82% to 91% and 71% to 77%, respectively. Overall, there were small changes in nonmedical prescription opioid use prevalence after medical marijuana law enactment (4.32% to 4.86%; adjusted odds ratio, 1.13; 95% CI, 1.06-1.20). Prescription opioid use disorder prevalence among prescription opioid users decreased slightly after law enactment, but the change was not statistically significant (15.41% to 14.76%; adjusted odds ratio, 0.95; 95% CI, 0.81-1.11). Outcomes were similar when stratified by age and race/ethnicity.Conclusions and relevanceThis study found little evidence of an association between medical marijuana law enactment and nonmedical prescription opioid use or prescription opioid use disorder among prescription opioid users. Further research should disentangle the potential mechanisms through which medical marijuana laws may reduce opioid-related harm.

Project description:OBJECTIVE:To examine whether sources of nonmedical use of prescription drugs (NMUPD) involving anxiolytics, opioids, and stimulants were associated with sociodemographic characteristics, NMUPD characteristics (eg, frequency), and other substance use. METHOD:Nationally representative samples of US high school seniors (N = 18,549) were surveyed by self-administered questionnaires (2009-2016). Design-based latent class analysis and Rao-Scott ?2 tests were used to test associations among sociodemographic characteristics, NMUPD characteristics, other substance use behaviors (eg, binge drinking, cigarette smoking, marijuana use), and NMUPD sources. RESULTS:Approximately 11.0% of high school seniors reported past-year NMUPD (n = 1,917). A substantial proportion of nonmedical users obtained the prescription drugs from multiple sources (44.2%). Latent class analysis identified 5 subgroups of NMUPD sources (friend/relative sources, friend/purchased sources, own leftover prescription, multiple sources, and other sources). Nonmedical users who obtained prescription drugs from friend/purchased sources were more likely to be adolescent boys, whereas those who used their own leftover prescriptions were more likely to be adolescent girls. Nonmedical users who obtained prescription drugs from multiple sources were more involved in substance use. In contrast, adolescent nonmedical users who used their own leftover prescriptions were less involved in substance use. CONCLUSION:Growing evidence indicates that different NMUPD sources are associated with different substance use behaviors. All NMUPD sources should be discouraged, because they place individuals, families, and communities at risk. Patients and their families should receive education on how to manage and properly dispose of controlled medications to avoid diversion into the community. Prescribers are encouraged to check prescription monitoring programs and screen adolescents for substance use/misuse when prescribing controlled medications.

Project description:ImportancePrescription opioids are frequently prescribed to treat cancer-related pain. However, limited information exists regarding rates of prescription opioid use and misuse in populations with cancer.ObjectivesTo estimate the prevalence and likelihood of prescription opioid use and misuse in adult cancer survivors compared with respondents without cancer and to identify characteristics associated with prescription opioid use and misuse in adult cancer survivors.Design, setting, and participantsThis cross-sectional study is a retrospective, population-based study using data from 169 162 respondents to the National Survey on Drug Use and Health from January 2015 to December 2018. Survey data sets were queried for all respondents aged 18 years or older. Those with a reported history of cancer were termed cancer survivors and further divided into more recent (had cancer within 12 months of survey) and less recent (had cancer more than 12 months prior to survey) cohorts. Respondents with nonmelanoma skin cancer were excluded.Main outcomes and measuresPrescription opioid use and misuse within the past 12 months.ResultsAmong 169 162 respondents, 5139 (5.2%) were cancer survivors, with 1243 (1.2%) and 3896 (4.0%) reporting having more recent and less recent cancer histories, respectively. Higher rates of prescription opioid use were observed among more recent cancer survivors (54.3%; 95% CI, 50.2%-58.4%; odds ratio [OR], 1.86; 95% CI, 1.57-2.20; P < .001) and less recent cancer survivors (39.2%; 95% CI, 37.3%-41.2%; OR, 1.18; 95% CI, 1.08-1.28; P < .001) compared with respondents without cancer (30.5%, reference group). Rates of prescription opioid misuse were similar among more recent (3.5%; 95% CI, 2.4%-5.2%; OR, 1.27; 95% CI, 0.82-1.96; P = .36) and less recent (3.0%; 95% CI, 2.4%-3.6%; OR, 1.03; 95% CI, 0.83-1.28; P = .76) survivors compared with respondents without cancer (4.3%, reference group). Younger age (aged 18-34 years vs ≥65 years: OR, 7.06; 95% CI, 3.03-16.41; P < .001), alcohol use disorder (OR, 3.22; 95% CI, 1.45-7.14; P = .005), and nonopioid drug use disorder (OR, 14.76; 95% CI, 7.40-29.44; P < .001) were associated with prescription opioid misuse among cancer survivors.Conclusions and relevanceIn this study, prescription opioid use was higher among more and less recent cancer survivors compared with the population without a history of cancer. Rates of prescription opioid misuse were low and similar among all 3 cohorts. These findings suggest that higher prescription opioid use among cancer survivors may not correspond to increased short-term or long-term misuse.

Dataset Information

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

Publications

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

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