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在物质使用的线索暴露干预期间,将联想学习模型转化为通过手机发送的消退提醒。

Translation of associative learning models into extinction reminders delivered via mobile phones during cue exposure interventions for substance use.

作者信息

Rosenthal M Zachary, Kutlu Munir G

机构信息

Department of Psychiatry and Behavioral Sciences, Duke University Medical Center.

Department of Psychology, Temple University.

出版信息

Psychol Addict Behav. 2014 Sep;28(3):863-71. doi: 10.1037/a0037082. Epub 2014 Aug 18.

Abstract

Despite experimental findings and some treatment research supporting the use of cues as a means to induce and extinguish cravings, interventions using cue exposure have not been well integrated into contemporary substance abuse treatments. A primary problem with exposure-based interventions for addiction is that after learning not to use substances in the presence of addiction cues inside the clinic (i.e., extinction), stimuli in the naturalistic setting outside the clinic may continue to elicit craving, drug use, or other maladaptive conditioned responses. For exposure-based substance use interventions to be efficacious, new approaches are needed that can prevent relapse by directly generalizing learning from the therapeutic setting into naturalistic settings associated with a high risk for relapse. Basic research suggests that extinction reminders (ERs) can be paired with the context of learning new and more adaptive conditioned responses to substance abuse cues in exposure therapies for addiction. Using mobile phones and automated dialing and data collection software, ERs can be delivered in everyday high-risk settings to inhibit conditioned responses to substance-use-related stimuli. In this review, we describe how associative learning mechanisms (e.g., conditioned inhibition) can inform how ERs are conceptualized, learned, and implemented to prevent substance use when delivered via mobile phones. This approach, exposure with portable reminders of extinction, is introduced as an adjunctive intervention that uses brief automated ERs between clinic visits when individuals are in high-risk settings for drug use.

摘要

尽管有实验结果和一些治疗研究支持将线索作为诱导和消除渴望的一种手段,但使用线索暴露的干预措施尚未很好地融入当代药物滥用治疗中。基于暴露的成瘾干预措施的一个主要问题是,在学会不在诊所内的成瘾线索出现时使用药物(即消退)后,诊所外自然环境中的刺激可能会继续引发渴望、药物使用或其他适应不良的条件反应。为了使基于暴露的物质使用干预措施有效,需要新的方法,通过直接将治疗环境中的学习推广到与高复发风险相关的自然环境中,来预防复发。基础研究表明,消退提醒(ERs)可以与在成瘾暴露疗法中学习对药物滥用线索的新的、更适应性的条件反应的背景相结合。利用手机以及自动拨号和数据收集软件,ERs可以在日常高风险环境中提供,以抑制对与物质使用相关刺激的条件反应。在这篇综述中,我们描述了联想学习机制(如条件抑制)如何为ERs在通过手机提供时如何被概念化、学习和实施以预防物质使用提供信息。这种方法,即携带消退提醒的暴露,被作为一种辅助干预措施引入,当个体处于药物使用的高风险环境中时,在诊所就诊期间使用简短的自动ERs。

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