Cited by 110Substance Abuse Treatment and OutcomesDigital Mental Health InterventionsCannabis and Cannabinoid Research

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index; none of the 11 sources its claims cite is checked for support yet.

Short- and long-term effects of digital prevention and treatment interventions for cannabis use reduction: A systematic review and meta-analysis

Open access

Abstract

BACKGROUND: Frequent Cannabis use has been linked to a variety of negative mental, physical, and social consequences. We assessed the effects of digital prevention and treatment interventions on Cannabis use reduction in comparison with control conditions. METHODS: Systematic review with two separate meta-analyses. Thirty randomized controlled trials met the inclusion criteria for the review, and 21 were included in the meta-analyses. Primary outcome was self-reported Cannabis use at post-treatment and follow-up. Hedges's g was calculated for all comparisons with non-active control. Risk of bias was examined with the Cochrane risk-of-bias tool. RESULTS: The systematic review included 10 prevention interventions targeting 8138 participants (aged 12 to 20) and 20 treatment interventions targeting 5195 Cannabis users (aged 16 to 40). The meta-analyses showed significantly reduced Cannabis use at post-treatment in the prevention interventions (6 studies, N = 2564, g = 0.33; 95% CI 0.13 to 0.54, p = 0.001) and in the treatment interventions (17 comparisons, N = 3813, g = 0.12; 95% CI 0.02 to 0.22, p = 0.02) as compared with controls. The effects of prevention interventions were maintained at follow-ups of up to 12 months (5 comparisons, N = 2445, g = 0.22; 95% CI 0.12 to 0.33, p < 0.001) but were no longer statistically significant for treatment interventions. CONCLUSIONS: Digital prevention and treatment interventions showed small, significant reduction effects on Cannabis use in diverse target populations at post-treatment compared to controls. For prevention interventions, the post-treatment effects were maintained at follow-up up to 12 months later.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This systematic review and two separate meta-analyses found that digital prevention and treatment interventions produced small, significant reductions in self-reported cannabis use at post-treatment compared with non-active controls. Prevention effects were maintained at follow-up up to 12 months, whereas treatment follow-up effects were no longer statistically significant.

Key findings

  • Prevention interventions: 6 studies, N = 2564, showed significantly reduced cannabis use at post-treatment (g = 0.33; 95% CI 0.13 to 0.54, p = 0.001); effects remained significant at follow-up up to 12 months (5 comparisons, N = 2445, g = 0.22; 95% CI 0.12 to 0.33, p < 0.001).
  • Treatment interventions: 17 comparisons, N = 3813, showed a small significant post-treatment effect (g = 0.12; 95% CI 0.02 to 0.22, p = 0.02); follow-up effects up to 12 months did not reach significance (9 studies, p = 0.10).
  • The systematic review included 10 prevention interventions targeting 8138 participants aged 12 to 20 and 20 treatment interventions targeting 5195 cannabis users aged 16 to 40.
  • Among treatment interventions, multi-session interventions such as CBT plus MI produced higher effect sizes (6 comparisons, g = 0.18) than one-session interventions such as PNF, MI, and BI (13 comparisons, g = 0.09), though subgroup differences were not statistically significant.

Methods

  • Systematic review with two separate meta-analyses; literature searched up to October 10, 2018, in PubMed, EMBASE, PsycINFO, and the Cochrane Central Register of Controlled Trials, yielding 419 abstracts (307 after duplicates), 70 full-text papers, 30 studies meeting review criteria, and 21 included in meta-analyses.
  • Included RCTs of internet- or computer-based prevention and treatment interventions; meta-analyses excluded active control comparisons and included only self-report cannabis use outcomes, assessed at post-treatment and furthest follow-up (3 to 12 months).
  • Random-effects meta-analyses calculated Hedges’s g, with I² heterogeneity, funnel plot/Egger’s test/trim-and-fill for publication bias, subgroup analyses, and univariable meta-regressions; risk of bias assessed with the Cochrane risk-of-bias tool.

Limitations

  • The paper states that many studies satisfied only a small number of Cochrane risk-of-bias criteria, so findings derive largely from low-quality RCTs; most included studies were at high risk of performance and detection bias, and only two RCTs fully blinded participants and personnel.
  • The paper states that limited public availability of RCT protocols or pre-registrations prevented evaluation of possible protocol violations, and that outcome measures varied in time frames and self-report questionnaires, reflecting the lack of an established gold standard for reporting cannabis use frequency or quantity.
  • The paper notes that subgroup analyses in conventional meta-analyses have limited power for moderator analyses; the text also makes evident that pooled effects are restricted to non-active control comparisons, and heterogeneity was high for prevention interventions and moderate for treatment interventions.

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Integrity signals

Registry

Crossref · 10.1016/j.drugalcdep.2019.03.016

Cites

92 of 92 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

21 Own result · 7 Not checked yet · 7 Own interpretation · 6 No basis given · 3 Sources not found · 3 Own method

Verify all 8 references — free account

Show all 32 claims

  • It may state two separate claims as one. 13
  • The quote only partly states this claim. 2
  • Probably not a substantial claim. 5
15 of 15
  • The paper relies on this without support.

    The self-reported cannabis use outcomes from included studies, despite varying time frames and questionnaires, can be validly pooled in meta-analysis.

    “The applied intervention outcomes varied as to the time frames measured (with self-reported frequencies ranging from Cannabis use in the past week to the past six months) and the self-report questionnaires employed.”
    “The variation in outcome measures reflects the lack of an established gold standard for reporting Cannabis use frequency or quantity”
  • The paper relies on this without support.

    The pooled effect sizes from the separate prevention and treatment meta-analyses are comparable enough to conclude that prevention interventions produce a larger effect than treatment interventions.

    “We found that digital prevention and treatment interventions are effective in reducing Cannabis use at post-treatment, with prevention interventions producing a larger pooled effect size for Cannabis use reduction than treatment interventions.”
  • The paper relies on this without support.

    The effect sizes from digital interventions can be validly compared with effect sizes from face-to-face interventions reported in other meta-analyses.

    “digital prevention and treatment interventions still produce smaller effect sizes than face-to-face prevention (d = 0.58) and treatment interventions (g = 0.49) (Davis et al., 2015;Porath-Waller et al., 2010).”
  • The paper relies on this without support.

    The effects of digital interventions observed in the included studies generalize to a variety of target users and different settings.

    “we suggest that digital interventions have the potential to decrease Cannabis use in a variety of target users and different settings.”
  • The paper relies on this without support.

    Reducing Cannabis use leads to improved health outcomes.

    “They may have a small effect, but when implemented on a large scale at low cost they could produce substantial health gains.”
5 of 5

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3 of 3

Citations

Cites

Show all 91 references

Research works printed but not linked: 1

  1. Schwinn, 2010, Preventing drug abuse among adolescent girls: outcome data from an internet-based intervention, Prev. Sci., 11, 24, 10.1007/s11121-009-0146-9 · DOI

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Metadata

Authors
Boumparis, N., Loheide-Niesmann, L., Blankers, M., Ebert, D. D., Korf, D., Schaub, M. P., Spijkerman, R., Tait, R. J., & Riper, H.
Affiliations
  • Amsterdam Public Health (NL)
  • Amsterdam UMC Location University of Amsterdam (NL)
  • Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
  • University of Amsterdam (NL)
  • University of Zurich (CH)
  • Parnassia Groep (NL)
  • Curtin University (AU)
Corresponding author
Boumparis, Nikolaos
Venue
Drug and Alcohol Dependence
Publisher
Elsevier BV
Published
2019-07
Volume
200
Pages
82-94
ISSN
0376-8716 (ISSN-L)
OpenAlex
W2945809486
Cited by
110
References
91
Citations by year
2026: 9 · 2025: 11 · 2024: 23 · 2023: 20 · 2022: 18 · 2021: 13 · 2020: 13 · 2019: 3
FWCI
1.71
Type
journal article
Language
en
Open access
Locations
  • Drug and Alcohol Dependence (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
  • VU Research Portal (publishedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, cc-by-nc-nd)
  • UvA-DARE (University of Amsterdam) (submittedVersion, cc-by-nc-nd)
  • Radboud Repository (Radboud University) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • eSpace (Curtin University) (submittedVersion, cc-by-nc-nd)
  • Pure Amsterdam UMC (submittedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich) (submittedVersion, cc-by-nc-nd)
  • Radboud Repository (Radboud University) (submittedVersion, other-oa)
  • Zurich Open Repository and Archive (University of Zurich)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Medicine › Pharmacology (medical) › Cannabis and Cannabinoid Research
Keywords
cannabis use reduction, digital interventions, cannabis use disorder, adolescents, young adults, maintenance of treatment effects, follow-up outcomes
MeSH terms
Adolescent, Adult, Behavior Therapy, Marijuana Abuse, Child, Humans, Marijuana Smoking, Therapy, Computer-Assisted, Time Factors, Randomized Controlled Trials as Topic, Treatment Outcome, Young Adult

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