Department of Psychiatry, Yale University School of Medicine.
Psychol Addict Behav. 2023 Mar;37(2):235-246. doi: 10.1037/adb0000824. Epub 2022 Feb 24.
Clinical trials for substance use disorder (SUD) often assess outcomes by aggregating substance use data into weekly proportions. However, daily substance use patterns may reveal how motivation changes during treatment. Neurocognitive principles of recency and expectancy indicate the salience of treatment mechanisms would increase on days proximal to therapy sessions. This study tested whether substance use decreased on days near treatment sessions.
Bayesian multilevel models were used in a secondary analysis of randomized clinical trial data comparing cognitive behavioral therapy (CBT), computerized CBT, and treatment as usual during outpatient SUD treatment ( = 94; 76% males; = 38; 46% African American, 38% White, 6% multiracial, 10% other; 17% Hispanic). The number of days before/after a therapy session was used to predict daily substance use assessed by weekly self-reports.
The models suggested that substance use increased as more days passed after a therapy session ( = 5.23) and then decelerated before the next therapy session (² = -8.20). The evidence indicated that substance use was less likely on therapy days and the days after therapy. Primary drug type, SUD severity, and treatment condition moderated these findings.
Substance use patterns during treatment were consistent with recency and expectancy neurocognitive principles. Substance use decreased on days closer to a therapy session, suggesting that treatment mechanisms were more salient on those days. More frequent therapeutic contact and targeted timing of treatment delivery may enhance treatment efficacy. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
物质使用障碍(SUD)的临床试验通常通过将物质使用数据汇总为每周比例来评估结果。然而,每日物质使用模式可能揭示治疗过程中动机的变化。最近和期望的神经认知原则表明,治疗机制在接近治疗会议的日子里会更加突出。本研究检验了治疗日附近的物质使用是否会减少。
贝叶斯多层模型用于比较认知行为疗法(CBT)、计算机化 CBT 和门诊 SUD 治疗中的常规治疗(=94;76%男性;=38;46%非洲裔美国人,38%白人,6%多种族,10%其他;17%西班牙裔)的随机临床试验数据的二次分析。使用治疗前后的天数来预测每周自我报告评估的每日物质使用。
模型表明,随着治疗后天数的增加(=5.23),物质使用增加,然后在下一次治疗前减速(²=-8.20)。证据表明,治疗日和治疗日后的物质使用较少。主要药物类型、SUD 严重程度和治疗条件调节了这些发现。
治疗期间的物质使用模式与最近和期望的神经认知原则一致。治疗日附近的物质使用减少,表明治疗机制在这些日子里更加突出。更频繁的治疗接触和治疗时机的针对性可能会提高治疗效果。