Department of Psychiatry, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, New York, USA.
Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York, USA.
Subst Use Misuse. 2022;57(11):1732-1742. doi: 10.1080/10826084.2022.2112230. Epub 2022 Aug 17.
Better understanding of predictors of opioid abstinence among patients with opioid use disorder (OUD) may help to inform interventions and personalize treatment plans. This analysis examined patient characteristics associated with opioid abstinence in the X:BOT (Extended-Release Naltrexone versus Buprenorphine for Opioid Treatment) trial. This post-hoc analysis examined factors associated with past-month opioid abstinence at the 36-week follow-up visit among participants in the X:BOT study. 428 participants (75% of original sample) attended the visit at 36 weeks. Logistic regression models were used to estimate the probability of opioid abstinence across various baseline sociodemographics, clinical characteristics, and treatment variables. Of the 428 participants, 143 (33%) reported abstinence from non-prescribed opioids at the 36-week follow-up. Participants were more likely to be opioid abstinent if randomized to XR-NTX (compared to BUP-NX), were on XR-NTX at week 36 (compared to those off OUD pharmacotherapy), successfully inducted onto either study medication, had longer time on study medication, reported a greater number of abstinent weeks, or had longer time to relapse during the 24-week treatment trial. Participants were less likely to be abstinent if Hispanic, had a severe baseline Hamilton Depression Rating (HAM-D) score, or had baseline sedative use. A substantial proportion of participants was available at follow-up (75%), was on OUD pharmacotherapy (53%), and reported past-month opioid abstinence (33%) at 36 weeks. A minority of patients off medication for OUD reported abstinence and additional research is needed exploring patient characteristics that may be associated with successful treatment outcomes.
更好地了解阿片类药物使用障碍(OUD)患者戒断阿片类药物的预测因素,可能有助于提供干预措施并使治疗计划个性化。这项分析检查了 X:BOT(纳曲酮长效与丁丙诺啡治疗阿片类药物使用障碍)试验中与阿片类药物戒断相关的患者特征。这项事后分析检查了 X:BOT 研究中参与者在 36 周随访时与过去一个月阿片类药物戒断相关的因素。428 名参与者(原始样本的 75%)参加了第 36 周的随访。逻辑回归模型用于估计各种基线社会人口统计学、临床特征和治疗变量下的阿片类药物戒断概率。在 428 名参与者中,143 名(33%)在 36 周随访时报告非处方阿片类药物戒断。与 BUP-NX 相比,随机分配到 XR-NTX 的参与者(与 BUP-NX 相比)、在第 36 周时使用 XR-NTX(与那些未接受 OUD 药物治疗的参与者相比)、成功诱导服用任何一种研究药物、使用研究药物时间更长、报告的无毒品使用周数更多或在 24 周治疗试验期间复吸时间更长的患者,更有可能阿片类药物戒断。如果是西班牙裔、基线汉密尔顿抑郁量表(HAM-D)评分严重或基线使用镇静剂,参与者更不可能保持阿片类药物戒断。在随访时(75%)有相当比例的参与者可用、正在接受 OUD 药物治疗(53%)并在第 36 周报告过去一个月阿片类药物戒断(33%)。少数停止 OUD 药物治疗的患者报告戒断,需要进一步研究探索可能与成功治疗结果相关的患者特征。