Cognitive Behavioral Therapy–Based Digital Interventions for Illicit Substance Use Disorders: Scoping Review of Intervention Design, Efficacy Indicators, and Methodological Gaps
Journal of Medical Internet Research ·
Background: Illicit substance use disorders (SUDs) are escalating globally; yet, social stigma and legal barriers restrict access to conventional treatment, and existing research remains skewed toward alcohol and nicotine. Digital interventions incorporating cognitive behavioral therapy (CBT) offer a discreet, scalable alternative. Objective: This scoping review maps how CBT-based digital interventions for illicit SUDs are designed and delivered across platforms, identifying their theoretical frameworks, functional components, outcome indicators, and reported methodological limitations. Methods: We followed the Joanna Briggs Institute (JBI) scoping review methodology and reported in accordance with PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Six databases (PubMed/MEDLINE, Embase, APA PsycINFO, Web of Science Core Collection, Cochrane Library, and CINAHL) were searched from inception to June 28, 2026, without language, date, or study design limits, supplemented by backward and forward citation searching (July 3, 2026). Eligible studies were empirical primary studies quantitatively evaluating digital interventions incorporating CBT for illicit or nonprescribed substance use; alcohol- or nicotine-only populations were excluded. Three reviewers independently screened and charted all studies, with disagreements resolved by consensus or adjudication. Data were synthesized narratively, with tables, figures, and an evidence gap map. Results: Fifty-six studies published between 2008 and 2026, drawn from 47 distinct participant samples, met the eligibility criteria. Most were conducted in North America (40/56, 71.4%) and used randomized controlled designs (39/56, 69.6%). Polysubstance-using populations were most frequently targeted (32/56, 57.1%), followed by cannabis (13/56, 23.2%), opioids (6/56, 10.7%), and stimulants (5/56, 8.9%). Interventions were delivered mainly via web (24/56, 42.9%) or app (24/56, 42.9%) platforms, and most (49/56, 87.5%) were grounded in traditional CBT, most often combined with contingency management (18/56, 32.1%) or motivational interviewing (17/56, 30.4%). Core functional components included therapeutic intervention (55/56, 98.2%), self-tracking and notification (25/56, 44.6%), reward (24/56, 42.9%), and support and feedback (21/56, 37.5%). Primary outcomes focused on substance use and abstinence (41/56, 73.2%), retention/feasibility (16/56, 28.6%), and mental health status or coping skills (14/56, 25%). Author-reported limitations were predominantly participant-level (52/56, 92.9%), measurement-level (43/56, 76.8%), study-level (34/56, 60.7%), and intervention-level (25/56, 44.6%) domains. Conclusions: Unlike previous reviews confined to a single substance or delivery platform, this review is innovative in mapping CBT-based digital interventions across the full spectrum of illicit substances, including polysubstance use, and in linking their functional components to intended therapeutic mechanisms. It thereby contributes to the development of these technologies and, by synthesizing author-reported limitations, proposes methodological improvements for their future evaluation. At present, CBT-based digital interventions are best positioned as adjuncts that extend the reach and continuity of existing addiction care rather than as stand-alone substitutes for it; substance-specific customization, objective outcome measures, and modular trial designs are needed to establish them as scalable clinical tools.