Patterns and Correlates of Polysubstance Use Among Individuals With Severe Alcohol Use Disorder.
Patterns and Correlates of Polysubstance Use Among Individuals With Severe Alcohol Use Disorder.
复制标题
严重酒精使用障碍患者多物质使用的模式和相关性。
DOI：
10.1093/alcalc/agac012
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Edwards,AlexisC
中科院分区：
文献类型：
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作者：
Stephenson,Mallory;Aggen,StevenH;Polak,Kathryn;Svikis,DaceS;Kendler,KennethS;Edwards,AlexisC
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.
