Barber J G
Department of Social Work, La Trobe University, Bundoora, Victoria, Australia.
J Subst Abuse Treat. 1990;7(2):125-31. doi: 10.1016/0740-5472(90)90008-e.
Although the psychological treatment of addiction is premised on the notion that addictive behavior is learned behavior, addiction workers have been slow to exploit the capacity of the computer to promote new learning. The best computer-assisted learning programs are fully adaptive; their design anticipates the responses a user can make, classifies them, and provides feedback for each. This paper reports on two recent attempts to achieve this level of sophistication in computer-assisted drug prevention. One program seeks to prevent heroin relapse among currently abstinent prisoners, and the other promotes controlled drinking in alcohol abusers. Given the fact that most drug users can be expected to opt for self-help materials over the offer of formal therapy, and that most (licit) drug users who solve their addiction problems do so without recourse to professional help anyway, the use of computer-assisted drug prevention programs like these provides an important new direction in substance abuse treatment.
尽管成瘾的心理治疗基于成瘾行为是习得行为这一观念，但成瘾问题工作者在利用计算机促进新学习的能力方面进展缓慢。最好的计算机辅助学习程序具有完全自适应能力；其设计能够预测用户可能做出的反应，对这些反应进行分类，并为每个反应提供反馈。本文报告了最近在计算机辅助药物预防方面为达到这种复杂程度所做的两次尝试。一个项目旨在防止目前已戒毒的囚犯复吸海洛因，另一个项目则促进酗酒者控制饮酒。鉴于大多数吸毒者可能会选择自助材料而非正式治疗，而且大多数解决成瘾问题的（合法）吸毒者无论如何都无需借助专业帮助，使用这样的计算机辅助药物预防项目为药物滥用治疗提供了一个重要的新方向。
