SynthesisClinical psychology & psychotherapy
Virtual Reality in Prevention and Treatment of Substance-Related Disorders: A Systematic Review of Randomized Controlled Trials.
Synthesis in Clinical psychology & psychotherapy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Virtual Reality in Prevention and Treatment of Substance-Related Disorders: A Systematic Review of Randomized Controlled Trials.Clinical psychology & psychotherapyPooled it
- Virtual Reality-Based Cue Exposure and Aversion Therapy for Alcohol Dependence: A Randomized Controlled Trial.Addiction biology · 2026Trial
- Article
- Are virtual reality (VR) interventions for substance use disorders designed for implementation? A rapid review of platform characteristics and clinical fit.Research square · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundSubstance abuse (SA) imposes a significant global health burden, demanding innovative and accessible interventions. Virtual reality (VR) offers a promising approach, providing engaging and personalized treatment experiences. However, rigorous evidence from randomized controlled trials (RCTs) on VR's efficacy in the treatment and prevention of SA remains limited. This systematic review aimed to characterize VR interventions for substance-related disorders and evaluate their effectiveness.
methodsTo conduct this review, two researchers independently performed a comprehensive literature search across four databases using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
resultsTwenty RCTs met the inclusion criteria, focusing on alcohol, nicotine and illicit drug use. These studies utilized diverse VR modalities, most frequently exposure therapy (n = 10) and cognitive-behavioural therapy (n = 5), followed by approach bias modification, skills training, cognitive rehabilitation, counterconditioning and psychoeducation. Interventions varied in level of immersion and interactivity. Although the evidence was mixed, 17 studies demonstrated positive effects on at least one outcome variable. Most studies focused on proximal outcomes (e.g., craving), which frequently showed improvement. Clinically meaningful outcomes (e.g., substance use reduction and abstinence) were less frequently assessed, with seven of 10 studies reporting improvement.
conclusionsVR shows promise in addressing substance-related disorders, particularly for alcohol and nicotine. However, substantial heterogeneity in VR interventions highlights the need for further research to standardize methodologies, optimize treatment parameters and explore the underlying working mechanisms of VR interventions. Additional research is also needed to assess VR's application to illicit drug use.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.