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可卡因依赖的治疗结果预测因素

Treatment outcome predictors for cocaine dependence.

作者信息

Poling James, Kosten Thomas R, Sofuoglu Mehmet

机构信息

Department of Psychiatry, Yale University School of Medicine, VA Connecticut Healthcare System. West Haven, CT 06516, USA.

出版信息

Am J Drug Alcohol Abuse. 2007;33(2):191-206. doi: 10.1080/00952990701199416.

Abstract

Over the past decade, a large number of potential medications have been examined in clinical trials for cocaine dependence. Unfortunately, no effective pharmacotherapies for cocaine dependence have been found to date. Although effective treatments for cocaine dependence are still being investigated, a few variables have been found to significantly predict cocaine treatment response. These variables include cocaine use variables, such as days of cocaine use in the month before treatment, baseline urine cocaine results, and cocaine withdrawal symptoms. Comorbid depression and alcohol use have also been shown to be risk factors for relapse. Among personality variables, impulsivity and similar personality traits may predict treatment response. Initial promising findings with genetic polymorphism, brain activation, and stress response have also been found and need to be replicated in future studies.

摘要

在过去十年中,大量潜在药物已在可卡因依赖的临床试验中接受检验。不幸的是,迄今为止尚未发现针对可卡因依赖的有效药物疗法。尽管仍在研究针对可卡因依赖的有效治疗方法,但已发现一些变量可显著预测可卡因治疗反应。这些变量包括可卡因使用变量,如治疗前一个月的可卡因使用天数、基线尿液可卡因检测结果以及可卡因戒断症状。共病的抑郁症和酒精使用也已被证明是复发的危险因素。在人格变量中,冲动性和类似的人格特质可能预测治疗反应。在基因多态性、大脑激活和应激反应方面也已发现初步的有前景的研究结果,需要在未来研究中进行重复验证。

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