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Updated: May 10, 2026

Administration of Δ9-Tetrahydrocannabinol (THC) in Adolescent and Adult Mice
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Published on: August 1, 2025

Internet and computer based interventions for cannabis use: a meta-analysis.

Robert J Tait1, Renske Spijkerman, Heleen Riper

  • 1Centre for Mental Health Research, Australian National University, Canberra, ACT, Australia; National Drug Research Institute, Curtin University, Perth, WA, Australia.

Drug and Alcohol Dependence
|June 11, 2013
PubMed
Summary
This summary is machine-generated.

Computer and Internet-based interventions show effectiveness in reducing cannabis use frequency. These digital tools offer a promising approach for prevention and treatment services, though more research is needed.

Keywords:
CannabisComputerInternetInterventionMeta-analysisPreventionSubstance useSystematic review

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Last Updated: May 10, 2026

Administration of Δ9-Tetrahydrocannabinol (THC) in Adolescent and Adult Mice
07:51

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Published on: August 1, 2025

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study
07:30

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Published on: August 18, 2020

Area of Science:

  • Digital Health
  • Behavioral Science
  • Public Health

Background:

  • Cannabis is the most prevalent illicit drug globally, straining conventional prevention and treatment services.
  • Computer and Internet-based interventions present a potential solution to meet the demand for cannabis use reduction services.

Purpose of the Study:

  • To systematically review and meta-analyze the effectiveness of computer and Internet-based interventions in reducing the frequency of cannabis use.

Main Methods:

  • A systematic literature search was conducted across multiple databases (Medline, PubMed, PsychINFO, Embase).
  • A meta-analysis included 10 studies with 4,125 participants, focusing on randomized designs delivering interventions via computer or Internet.
  • The primary outcome measure was the frequency of cannabis use.

Main Results:

  • The meta-analysis revealed a small but statistically significant effect size (g=0.16) in reducing cannabis use frequency at post-treatment.
  • Subgroup analyses showed no significant differences based on analysis type, control group, age, gender, intervention type, guidance, delivery mode, or setting.
  • No significant moderation effects were found for session number or follow-up time, and no evidence of publication bias was detected.

Conclusions:

  • Internet and computer interventions demonstrate short-term effectiveness in reducing cannabis use.
  • These digital interventions show promise across diverse samples and intervention types, despite being based on a limited number of studies.