OBJECTIVE This exploratory analysis sought to determine whether decreases in cannabis use are associated with improvements in cannabis-related problems and functional outcomes, and if so, what percentage decrease is associated with improvement. METHODS Data were aggregated from seven cannabis use disorder treatment trials conducted in the United States (N=920; ages 13 years and older; mean age, 25 years; 30% female, 7% Black, 11% Hispanic/Latinx). Outcome measures included the patient-reported Marijuana Problems Scale (MPS), Health-Related Quality of Life scale (HRQOL), and Pittsburgh Sleep Quality Index and the clinician-rated Clinical Global Impressions (CGI) severity and improvement scales (CGI-S and CGI-I). Generalized estimating equations tested the association between changes in 4-week cannabis use and improvements in functional outcomes. Classification and regression tree (CART) models were developed to determine what reductions in cannabis use could be used as classifiers of improvement. RESULTS Decreases in the amount and frequency of cannabis use were significantly associated with improvements in MPS severity and total scores as well as improvements on the CGI-I and in sleep quality, but not improvements on the HRQOL. CART models performed best for CGI-I scores (72%-75% correct classification), while other outcome measures did not perform as well (40%-62% correct classification). CART models showed improvements on the CGI at 74% reduction in use amounts and 47% reduction in use days. CONCLUSIONS Reductions in cannabis use (∼50% reduction in use days and ∼75% reduction in use amounts) were associated with clinician-assessed improvement, which suggests that cannabis use reduction may yield benefit among individuals with cannabis use disorder. These exploratory results extract a data-driven metric to inform future studies, clinicians, patients, and policy recommendations.

中文翻译：

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减少大麻使用与改善功能结果的关联：来自七项大麻使用障碍治疗试验的探索性汇总分析，以提取数据驱动的大麻减少指标。


目的 这项探索性分析旨在确定大麻使用量的减少是否与大麻相关问题和功能结果的改善有关，如果是，减少的百分比与改善有关。方法 数据来自在美国进行的七项大麻使用障碍治疗试验（N=920;年龄 13 岁及以上;平均年龄 25 岁;30% 女性，7% 黑人，11% 西班牙裔/拉丁裔）。结局指标包括患者报告的大麻问题量表 （MPS） 、健康相关生活质量量表 （HRQOL） 和匹兹堡睡眠质量指数以及临床医生评定的临床总体印象 （CGI） 严重程度和改善量表 （CGI-S 和 CGI-I）。广义估计方程测试了 4 周大麻使用变化与功能结果改善之间的关联。开发了分类和回归树 （CART） 模型，以确定大麻使用的哪些减少可以用作改进的分类器。结果 大麻使用量和频率的减少与 MPS 严重程度和总分的改善以及 CGI-I 和睡眠质量的改善显着相关，但与 HRQOL 的改善无关。CART 模型在 CGI-I 评分方面表现最好 （72%-75% 正确分类），而其他结局指标表现不佳 （40%-62% 正确分类）。CART 模型显示 CGI 有所改善，使用量减少了 74%，使用天数减少了 47%。结论 大麻使用的减少 （使用天数减少 ∼ 50% 和使用量减少 ∼75%） 与临床医生评估的改善有关，这表明大麻使用减少可能对大麻使用障碍个体产生益处。 这些探索性结果提取了一个数据驱动的指标，为未来的研究、临床医生、患者和政策建议提供信息。