Digital cognitive-behavioral therapy for substance use: systematic review and meta-analysis of randomized controlled trials

Background: Prior meta-analyses have evaluated digital interventions for alcohol exclusively and alcohol/tobacco combined. These meta-analyses showed positive outcomes pertaining to alcohol and alcohol/tobacco combined. Yet questions remain pertaining to the effect of digital cognitive-behavioral therapy (CBT) on reducing alcohol and drug use. Objectives: The purpose of the meta-analysis was to determine the mean effect size, relative to control groups, of digital CBT, for posttest reductions in drug and/or alcohol use. Methods: The Preferred Reporting Items for Systematic Reviews and Meta-analyses criteria was used to guide this review and meta-analysis. Electronic databases (APA PsycArticles, Academic Search Complete, APA PsycInfo, CINAHL Complete, ERIC, MEDLINE, Psychology and Behavioral Sciences Collection, Social Sciences Full Text, Social Work Abstracts, SocINDEX), clinicaltrials.gov, reference lists were searched. The protocol was registered in PROSPERO (ID#: CRD42023471492). The CBT interventions included cognitive restructuring. Results: All but one of the effect sizes favored digital CBT (from -0.02 to -1.45). After the removal an outlier, a small, significant, random effects model Hedges' g summary effect of -0.23 (95% confidence interval: -0.32, -0.14, p < .0001) showed a reduction in substance use at the posttest, favoring digital CBT relative to the control group. A variety of control conditions were used; however, the effects sizes had minimal heterogeneity (k = 17, I-2 = 5.34, Q = 16.9, p = .39). The funnel plot and Egger regression test intercept (0.01, p = .99) lacked publication bias. Conclusion: The meta-analytic findings suggest digital CBT is an efficacious treatment for reducing alcohol and drug use overall.