Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut.
Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, Michigan.
Am J Addict. 2021 Jul;30(4):343-350. doi: 10.1111/ajad.13149. Epub 2021 Mar 30.
Patients receiving opioid agonist therapies have high rates of psychiatric comorbidity. Some data suggest that comorbidity is associated with poorer treatment outcomes. The current study assessed predictors of multiple putative addictive behaviors among patients receiving opioid agonist therapies.
Adults (N = 176) recruited from an outpatient clinic providing opioid agonist therapy completed self-report measures of depression, anxiety, impulsivity, adverse childhood events, and the Recognizing Addictive Disorders (RAD) scale, which includes seven subscales assessing symptoms related to alcohol use, drug use, tobacco use, gambling, binge-eating, hypersexual behavior, and excessive video-gaming. Linear regression and hurdle models identified significant predictors of RAD subscales. Hurdle models included logistic regression estimation for the presence/absence of symptoms and negative binomial regression for estimation of the severity of symptoms.
Most patients did not report significant symptoms beyond drug or tobacco use. However, 7% to 47% of participants reported some symptoms of other addictive behaviors (subscale score > 0). Higher impulsivity predicted the presence and/or increased severity of symptoms of drug use, gambling, binge-eating, and hypersexuality. Higher depression significantly predicted increased severity of drug use and binge-eating symptoms. Increased anxiety predicted lower severity of alcohol use and binge-eating and higher severity of smoking symptoms.
A broader range of potentially addictive symptoms may be present among patients engaged in treatment for opioid use disorder. Few studies have assessed symptoms of binge-eating, hypersexuality, and excessive video-gaming among patients receiving opioid agonist therapy. This study contributes to preliminary findings and highlights important future directions. (Am J Addict 2021;00:00-00).
接受阿片类激动剂治疗的患者有较高的精神共病率。一些数据表明,共病与较差的治疗结果有关。本研究评估了接受阿片类激动剂治疗的患者中多种潜在成瘾行为的预测因素。
从提供阿片类激动剂治疗的门诊诊所招募的成年人(N=176)完成了抑郁、焦虑、冲动、不良童年经历和识别成瘾障碍(RAD)量表的自我报告测量,该量表包括七个子量表,评估与酒精使用、药物使用、吸烟、赌博、暴食、性欲亢进和过度视频游戏相关的症状。线性回归和障碍模型确定了 RAD 子量表的显著预测因素。障碍模型包括症状存在/不存在的逻辑回归估计和症状严重程度的负二项回归估计。
大多数患者除了药物或烟草使用外,没有报告明显的症状。然而,7%至 47%的参与者报告了其他成瘾行为的一些症状(子量表得分>0)。较高的冲动性预测了药物使用、赌博、暴食和性欲亢进症状的存在和/或严重程度增加。较高的抑郁显著预测了药物使用和暴食症状的严重程度增加。焦虑增加预测了酒精使用和暴食症状严重程度降低,吸烟症状严重程度增加。
接受阿片类药物使用障碍治疗的患者可能存在更广泛的潜在成瘾症状。很少有研究评估接受阿片类激动剂治疗的患者的暴食、性欲亢进和过度视频游戏症状。本研究为初步研究结果提供了贡献,并强调了重要的未来方向。