University of California San Diego, Department of Psychiatry, La Jolla, CA, USA.
University of California San Diego, Department of Psychiatry, La Jolla, CA, USA.
Drug Alcohol Depend. 2018 Jun 1;187:195-204. doi: 10.1016/j.drugalcdep.2018.03.007. Epub 2018 Apr 11.
Few effective treatment options exist for cannabis-using youth. This pilot study aimed to test Approach-Avoidance Training to reduce cannabis use with non-treatment-seeking adolescents.
Eighty cannabis-using non-treatment-seeking adolescents (average age 19) were recruited from San Diego, California and Charleston, South Carolina, and randomized to complete either six sessions of Cannabis Approach-Avoidance Task Training (CAAT-training) designed to reduce automatic approach biases for cannabis cues or CAAT-sham training. Change in two primary outcome variables was examined: 1) cannabis approach bias and 2) percent cannabis use days over study enrollment. Change in percent alcohol use days over study enrollment was explored as a secondary outcome.
A mixed models repeated measures analysis confirmed the group by time interaction effect for approach bias failed to reach statistical significance (p = .06). Significant group by time interaction effects (ps < 0.05) predicted percent days of cannabis and alcohol use over study enrollment. Participants randomized to the avoid cannabis condition (CAAT-training) reported 7% fewer days of cannabis use compared to 0% change for sham; unexpectedly, those in the avoid cannabis condition reported 10% percent more alcohol use days compared to 3% more for sham.
Computerized cognitive bias modification paradigms may have utility in reducing adolescent cannabis use. Future work should consider developing a paradigm that addresses both cannabis and alcohol, as well as alternative computerized approaches for coping with addictive behavior in conjunction with bias modification.
目前针对大麻吸食青少年的有效治疗方案寥寥无几。本研究旨在通过接近回避训练(Approach-Avoidance Training),探索一种减少非治疗寻求青少年大麻使用的方法。
研究招募了来自加利福尼亚州圣地亚哥和南卡罗来纳州查尔斯顿的 80 名非治疗寻求的大麻使用者青少年(平均年龄 19 岁),并随机分为两组,分别完成六次大麻接近回避任务训练(Cannabis Approach-Avoidance Task Training,CAAT-training)或 CAAT 假训练,旨在减少大麻线索的自动接近偏见。主要结果变量 1:大麻接近偏见;2:研究期间大麻使用天数的百分比,变化情况。次要结果变量为研究期间的酒精使用天数百分比变化情况。
混合模型重复测量分析证实,接近偏见的组间时间交互作用未达到统计学意义(p = .06)。显著的组间时间交互作用(p<0.05)预测了研究期间大麻和酒精使用的天数百分比。与假训练相比,被随机分配到避免大麻条件(CAAT 训练)的参与者报告的大麻使用天数减少了 7%,而假训练组的大麻使用天数增加了 0%;出乎意料的是,避免大麻条件组的参与者报告的酒精使用天数增加了 10%,而假训练组增加了 3%。
计算机化认知偏见修正范式可能有助于减少青少年的大麻使用。未来的工作应考虑开发一种既针对大麻又针对酒精的范式,以及与偏见修正相结合的应对成瘾行为的替代计算机化方法。