Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, CA 90025, USA.
J Subst Abuse Treat. 2013 Mar;44(3):336-42. doi: 10.1016/j.jsat.2012.08.016. Epub 2012 Sep 26.
Using buprenorphine as a medication to treat opioid dependence is becoming more prevalent as illicit opiate use increases. Identifying the characteristics of opiate dependent individuals best suited to benefit from buprenorphine would improve guidelines for its administration. This study evaluates baseline and treatment participation variables for predicting positive response to short-term stabilization with buprenorphine. Data include demographic, drug use, and other variables collected from participants undergoing stabilization over a 4-week period before being tapered off buprenorphine in a short-term detoxification process. Outcome variables include opioid use and retention. Logistic regression results indicate several characteristics associated with opioid use at the end of the stabilization period. These include being older, having no criminal history, and less opiate use. Criminal activity and opioid use in the last 30 days were significantly associated with shorter treatment stays. The benefits of identifying individual characteristics that may predict treatment response are discussed.
随着非法阿片类药物使用的增加,使用丁丙诺啡作为治疗阿片类药物依赖的药物越来越普遍。确定最适合从丁丙诺啡中获益的阿片类药物依赖者的特征将改善其管理指南。本研究评估了基线和治疗参与变量,以预测短期稳定治疗对丁丙诺啡的反应。数据包括参与者在短期脱毒过程中逐渐减少丁丙诺啡之前的 4 周稳定期内收集的人口统计学、药物使用和其他变量。结果变量包括阿片类药物使用和保留。逻辑回归结果表明,在稳定期结束时,有几个与阿片类药物使用相关的特征。这些特征包括年龄较大、无犯罪记录和阿片类药物使用较少。过去 30 天的犯罪活动和阿片类药物使用与较短的治疗时间显著相关。讨论了识别可能预测治疗反应的个体特征的好处。