ArticleAlcohol and alcoholism (Oxford, Oxfordshire)2022
Patterns and Correlates of Polysubstance Use Among Individuals With Severe Alcohol Use Disorder.
Article in Alcohol and alcoholism (Oxford, Oxfordshire), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Mindfulness-Oriented Recovery Enhancement Reduces Illicit Substance Craving Among People with Alcohol Use Disorder and Polysubstance Use.Substance use & misuse · 2025Trial
- High Prevalence of Suicidal Behavior in Severe Alcohol Use Disorder Linked to Specific Neurocognitive Deficits: The Cognition, Alcohol, Genes, and Environment Study.Journal of studies on alcohol and drugs · 2026Article
- Natural language processing of patient in-session speech to predict brief motivational interviewing alcohol intervention response: an exploratory study.Alcohol and alcoholism (Oxford, Oxfordshire) · 2026Article
- You've got mail: comparing individuals who do and do not provide DNA saliva samples by mail in a study of severe alcohol use disorder.Alcohol and alcoholism (Oxford, Oxfordshire) · 2025Article
- Trends in use of tobacco and cannabis across different alcohol consumption levels in the United States, 2010-19.Alcohol and alcoholism (Oxford, Oxfordshire) · 2024Article
- Personality correlates of past-year alcohol use in individuals with severe alcohol use disorder and a lifetime history of involvement in alcoholics anonymous.Alcohol, clinical & experimental research · 2024Article
- A novel, non-opioid, selective orexin-1 receptor antagonist for the treatment of substance use disorders.Neuroscience applied · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
aimThe present study examined patterns and correlates of polysubstance use among individuals with severe alcohol use disorder (AUD).
methodsParticipants were 2785 individuals (63% female; mean age = 43 years, range = 18-78 years) from the Genes, Addiction and Personality Study. All participants met lifetime criteria for severe AUD (6+ symptoms). We used latent class analysis to identify patterns of frequency of lifetime use for cigarettes, marijuana, cocaine, stimulants, sedatives, opioids and hallucinogens. A variety of demographic and behavioral correlates of latent class membership were tested in univariable and multivariable models.
resultsA five-class solution was selected: extended range polysubstance use (24.5%); cigarette and marijuana use (18.8%); 'testers,' characterized by high probabilities of smoking 100 or more cigarettes, using marijuana 6+ times, and trying the remaining substances 1-5 times (12.3%); moderate range polysubstance use (17.1%) and minimal use (reference class; 27.3%). In univariable analyses, all potential correlates were related to latent class membership. In the multivariable model, associations with gender, race/ethnicity, age of onset for alcohol problems, dimensions of impulsivity, depressive symptoms, antisocial behavior and family history density of alcohol problems remained significant, though the pattern and strength of associations differed across classes. For instance, sensation-seeking, lack of premeditation and family history were uniquely associated with membership in the extended range polysubstance use class.
conclusionPatterns of polysubstance use are differentially related to demographic and behavioral factors among individuals with severe AUD. Assessing use across multiple substances may inform the selection of targets for treatment and prevention.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.