药物滥用障碍治疗应急管理综述:针对服务不足人群的调整、实验技术的使用以及个性化优化策略。

IF 5.1 Q1 SUBSTANCE ABUSE Substance Abuse and Rehabilitation Pub Date : 2018-08-13 eCollection Date: 2018-01-01 DOI:10.2147/SAR.S138439
Sterling M McPherson, Ekaterina Burduli, Crystal Lederhos Smith, Jalene Herron, Oladunni Oluwoye, Katherine Hirchak, Michael F Orr, Michael G McDonell, John M Roll
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引用次数: 0

摘要

这篇关于应急管理(CM,一种行为矫正方法,通过提供强化来换取所期望行为的客观证据)治疗药物滥用障碍(SUDs)的综述首先介绍了应急管理的起源,以及它是如何在治疗药物滥用障碍的过程中得到最广泛应用的。我们的核心目标是回顾、描述和讨论中药治疗领域正在取得的三项重要进展。我们回顾了中药可能产生影响的关键新兴领域。在搜索 PubMed 和 Google Scholar 后,我们以系统的方式对 31 项研究进行了定性审查。然后,我们描述并重点介绍了三大主题下的中医研究:针对服务不足人群的中医调整、采用实验技术的中医以及优化个性化干预的中医。技术创新可以通过移动方式提供强化物,以换取所期望行为的客观证据,这很可能会将CM的应用扩展到整个药物滥用治疗领域以及相关的治疗领域(如严重的精神疾病)。当这种移动技术与新的、易于使用的生物标志物相结合时,在难以到达的地方(如农村地区)进行个人目标设定和提供基于 CM 的 SUD 治疗的适应性调整,就能对受这些疾病影响最严重的社区产生持续的影响。总之,不仅在技术上,而且在说服政策制定者采用这种成熟、具有成本效益和循证的行为矫正方法方面,还有许多工作要做。
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A review of contingency management for the treatment of substance-use disorders: adaptation for underserved populations, use of experimental technologies, and personalized optimization strategies.

This review of contingency management (CM; the behavior-modification method of providing reinforcement in exchange for objective evidence of a desired behavior) for the treatment of substance-use disorders (SUDs) begins by describing the origins of CM and how it has come to be most commonly used during the treatment of SUDs. Our core objective is to review, describe, and discuss three ongoing critical advancements in CM. We review key emerging areas wherein CM will likely have an impact. In total, we qualitatively reviewed 31 studies in a systematic fashion after searching PubMed and Google Scholar. We then describe and highlight CM investigations across three broad themes: adapting CM for underserved populations, CM with experimental technologies, and optimizing CM for personalized interventions. Technological innovations that allow for mobile delivery of reinforcers in exchange for objective evidence of a desired behavior will likely expand the possible applications of CM throughout the SUD-treatment domain and into therapeutically related areas (eg, serious mental illness). When this mobile technology is coupled with new, easy-to-utilize biomarkers, the adaptation for individual goal setting and delivery of CM-based SUD treatment in hard-to-reach places (eg, rural locations) can have a sustained impact on communities most affected by these disorders. In conclusion, there is still much to be done, not only technologically but also in convincing policy makers to adopt this well-established, cost-effective, and evidence-based method of behavior modification.

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