OBJECTIVE Substantial research has demonstrated the importance of implicit cognitive processes underlying substance use. However, there is a scarcity of research on implicit processes related to marijuana use. We adapted and tested the predictive validity (concurrent and prospective) of an implicit measure evaluating the strength of associations between marijuana and harm based on research demonstrating less marijuana use among individuals who report stronger explicit attitudes of marijuana's harms. METHOD A community sample of 187 U.S. young adults living in a state with legal recreational marijuana use completed an Implicit Association Test (IAT) evaluating marijuana-harm associations and measures of marijuana use and risk of cannabis use disorder (CUD) over time. RESULTS The marijuana-harm IAT had good internal consistency, and scores did not vary as a function of biological sex, legal age status for recreational marijuana use, or college student status. Scores did vary as a function of lifetime and recent use such that lifetime and current abstainers had stronger marijuana-harm associations. Zero-inflated negative binomial regression models demonstrated that marijuana-harm IAT scores significantly predicted concurrent risk of CUD and use such that stronger marijuana-harm associations were associated with less use and risk of CUD. Results evaluating outcomes longitudinally found limited support for IAT scores predicting increases in use over time and no support for predicting changes in risk of CUD over time. CONCLUSIONS Findings provide preliminary evidence that stronger marijuana-harm associations may act as a protective factor against marijuana use and risk of CUD.

中文翻译：

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变高有什么害处？评估大麻和危害之间的关联，作为同时和预期使用和滥用大麻的预测指标

目的大量研究表明，物质使用背后的内隐认知过程很重要。然而，关于与大麻使用有关的隐式过程的研究很少。我们根据一项研究表明，在举报大麻危害明确态度的个人中较少使用大麻的研究，对一项评估大麻与危害之间关联强度的隐性措施的适应性进行了测试，并对其进行了检验。方法社区样本来自187个生活在合法休闲大麻使用状态的美国年轻人，完成了一项隐式关联测试（IAT），以评估大麻危害关联，大麻使用量度以及随时间推移使用大麻的风险（CUD）。结果大麻危害IAT具有良好的内部一致性，而且分数并未因生物性别，使用休闲大麻的法定年龄状态或大学生身份而变化。分数的确随寿命和最近使用情况而变化，因此，寿命和当前弃权者的大麻危害关联性更高。零膨胀负二项式回归模型表明，大麻危害IAT评分显着预测了CUD和使用的并发风险，因此，更强的大麻危害关联与CUD的使用和风险减少相关。纵向评估结果的结果发现，对IAT分数预测使用量随时间增加的支持有限，而对预测CUD风险随时间变化的支持有限。