Cited by 114Substance Abuse Treatment and OutcomesCannabis and Cannabinoid ResearchSmoking Behavior and Cessation

Behavioral Therapies for Treatment-Seeking Cannabis Users: A Meta-Analysis of Randomized Controlled Trials

Open access
Davis, Michelle L., Powers, Mark B., Handelsman, Pamela, Medina, Johnna L., Zvolensky, Michael, Smits, Jasper A. J.·2015·Evaluation & the Health Professions

Abstract

Narrative reviews conclude that behavioral therapies (BTs) produce better outcomes than control conditions for cannabis use disorders (CUDs). However, the strength and consistency of this effect has not been directly empirically examined. The present meta-analysis combined multiple well-controlled studies to help clarify the overall impact of behavioral interventions in the treatment of CUDs. A comprehensive literature search produced 10 randomized controlled trials (RCTs; n = 2,027) that were included in the final analyses. Analyses indicated an effect of BTs (including contingency management, relapse prevention, and motivational interviewing, and combinations of these strategies with cognitive behavioral therapy) over control conditions (including waitlist [WL], psychological placebo, and treatment as usual) across pooled outcomes and time points (Hedges’ g = 0.44). These results suggest that the average patient receiving a behavioral intervention fared better than 66% of those in the control conditions. BT also outperformed control conditions when examining primary outcomes alone (frequency and severity of use) and secondary outcomes alone (psychosocial functioning). Effect sizes were not moderated by inclusion of a diagnosis (RCTs including treatment-seeking cannabis users who were not assessed for abuse or dependence vs. RCTs including individuals diagnosed as dependent), dose (number of treatment sessions), treatment format (either group vs. individual treatment or in-person vs. non-in-person treatment), sample size, or publication year. Effect sizes were significantly larger for studies that included a WL control comparison versus those including active control comparisons, such that BT significantly outperformed WL controls but not active control comparisons.

AI snapshot

Written from the paper’s full text.

TL;DR

This meta-analysis of 10 randomized controlled trials (n = 2,027) found that behavioral therapies for treatment-seeking cannabis users outperformed control conditions across pooled outcomes and time points. Effects were medium overall, but behavioral therapies significantly outperformed waitlist controls and not active controls.

Key findings

  • Across all outcomes and time points, behavioral therapies outperformed controls with Hedges’ g = 0.44 (SE = 0.09, 95% CI [0.26, 0.62], p < .001); the average patient receiving behavioral therapy fared better than 66% of controls.
  • Behavioral therapies also outperformed controls on primary outcomes (frequency and severity of use; g = 0.49, SE = 0.11, 95% CI [0.26, 0.71], p < .001; better than approximately 69% of controls) and secondary outcomes (psychosocial functioning; g = 0.42, SE = 0.12, 95% CI [0.19, 0.65], p < .001; better than 66% of controls).
  • Effect sizes were not significantly moderated by dose (β = .02, p = .43), publication year (β = .01, p = .73), sample size (β = .00, p = .70), diagnosis inclusion (p = .29), in-person versus non-in-person treatment (p = .80), or group versus individual in-person treatment (p = .78).
  • Behavioral therapies significantly outperformed waitlist controls (g = 0.56, SE = 0.09, p < .001) but not active controls (g = 0.14, SE = 0.12, p = .25). Publication-bias analysis indicated more than 101 unpublished null studies would be needed to reduce the overall effect to nonsignificance, exceeding the suggested threshold of 60.

Methods

  • Meta-analysis of randomized controlled trials identified through Scopus, Medline, PsychINFO, PubMed, the Cochrane Register of Controlled Trials, and Dissertation Abstracts International, searched from first available date until March 15, 2013, using terms random* and cannabis or marijuana; 763 potential articles were identified and 10 RCTs (n = 2,027) were included.
  • Inclusion criteria required at least one behavioral component (e.g., contingency management, relapse prevention, motivational interviewing, or combinations with cognitive behavioral therapy), random assignment, an active or inactive control group (waitlist, psychological placebo, or treatment as usual), and a treatment-seeking sample.
  • Between-group effect sizes were computed with Hedges’ g using random-effects analyses; heterogeneity was assessed with Q and I², moderators were examined with unrestricted maximum likelihood meta-regressions, and publication bias was assessed with fail-safe N.

Limitations

  • The paper states that most RCTs compared two behavioral therapies without a control group and were excluded; only 10 trials with controls were available, which may have limited power to detect moderators.
  • The paper states it did not compare different forms of behavioral treatment because versions were not uniform across studies; two included studies used web-based or telephone-based rather than in-person treatment.
  • The paper states that some RCTs did not assess abuse/dependence and included cannabis “users,” while others included only dependent participants; it also notes that active-control comparisons were limited to three studies and should be interpreted cautiously.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1177/0163278714529970

Cites

66 of 66 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

0 of 29 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    Effect sizes did not differ significantly between studies that did not assess for abuse or dependence as an inclusion criterion and studies that only enrolled participants diagnosed as dependent.

    “In addition, there was not a significant difference in effect sizes between studies that did not assess for abuse or dependence as an inclusion criteria versus studies that only enrolled participants diagnosed as dependent (p = .29) or studies using in-person versus non-in-person treatments (p = .80).”
    Quote in the paperNot a substantial claim
  • Findingown data

    Effect sizes were not significantly moderated by dose (number of treatment sessions).

    “Contrary to prediction, a meta-regression analysis showed there was not a significant relationship between dose (number of treatment sessions) and effect sizes (β = .02, p = .43).”
    Quote in the paperNot a substantial claim
  • Findingown data

    Effect sizes were not significantly moderated by publication year.

    “There was also not a significant relationship between publication year and effect size (β = .01, p = .73) or between sample size and effect size (β = .00, p = .70).”
    Quote in the paperNot a substantial claim
  • Findingown data

    BT significantly outperformed control conditions on secondary measures (psychosocial functioning), with a mean overall effect size of Hedges' g = 0.42 (SE = 0.12, 95% CI [0.19, 0.65], p < .001).

    “Consistent with our prediction, BT also significantly outperformed control conditions on secondary measures (measures of psychosocial functioning). Using a Hedges’ g random effects analysis, we obtained a mean overall effect size of Hedges’ g = 0.42 (SE = 0.12, 95% CI: [0.19, 0.65], p < .001).”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The studies included in the random effects analysis are only a sample of the entire population of studies.
    • Rests on an assumption: The control conditions classified as treatment as usual or author-developed controls did not include the active components of behavioral therapy.
  • Findingown data

    Effect sizes were not significantly moderated by sample size.

    “There was also not a significant relationship between publication year and effect size (β = .01, p = .73) or between sample size and effect size (β = .00, p = .70).”
    Quote in the paperNot a substantial claim
  • May combine two claims. 13
  • Classified as probably not a substantial claim. 9
  • The quote only partly states this claim. 1
  • May combine two claims.

    Findingown data

    BT outperformed control conditions on primary outcomes (frequency and severity of use), with a mean overall effect size of Hedges' g = 0.49 (SE = 0.11, 95% CI [0.26, 0.71], p < .001).

    “Consistent with prediction, BT also outperformed control conditions across pooled primary measures (frequency and severity of use). Using a random effects analysis, we obtained a mean overall effect size of Hedges’ g = 0.49 (SE = 0.11, 95% CI: [0.26, 0.71]), indicating an effect for BT relative to control conditions (p < .001).”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The studies included in the random effects analysis are only a sample of the entire population of studies.
    • Rests on an assumption: The control conditions classified as treatment as usual or author-developed controls did not include the active components of behavioral therapy.
  • May combine two claims.

    Findingown data

    Behavioral therapies (BTs) outperformed control conditions across all pooled outcomes and time points combined, with a mean overall effect size of Hedges' g = 0.44 (SE = 0.09, 95% CI [0.26, 0.62], p < .001).

    “Analyses indicated an effect of BTs (including contingency management, relapse prevention, and motivational interviewing, and combinations of these strategies with cognitive behavioral therapy) over control conditions (including waitlist [WL], psychological placebo, and treatment as usual) across pooled outcomes and time points (Hedges’ g = 0.44).”
    • Also stated in: § Studies Included in the Meta-Analysis · hedged
      “Using a random effects analysis, we obtained a mean overall effect size of Hedges’ g = 0.44 (standard error [SE] = 0.09, 95% confidence interval [CI]: [0.26, 0.62]), indicating a medium effect for BT relative to control conditions overall (p < .001).”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The studies included in the random effects analysis are only a sample of the entire population of studies.
    • Rests on an assumption: The control conditions classified as treatment as usual or author-developed controls did not include the active components of behavioral therapy.
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Across the included studies, the most common control condition was waitlist, accounting for seven studies.

    “Across studies, the most common control condition was WL accounting for seven studies”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Three included studies had a relapse prevention (RP) condition and two included studies had contingency management (CM) conditions.

    “Three studies included a condition with RP (Copeland et al., 2001; Stephens et al., 2000; Stephens et al., 1994) and two studies included conditions with CM (Carroll et al., 2006; Kadden et al., 2007).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    There was a significant difference between active control groups and waitlist control groups, such that effect sizes were larger for BT versus waitlist comparisons than for BT versus active control comparisons.

    “Finally, there was a significant difference between active control groups and WL control group, such that BTs evidenced larger effect sizes than active control groups when compared to WL control groups”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The control conditions classified as treatment as usual or author-developed controls did not include the active components of behavioral therapy.
  • The quote only partly states this claim.

    Findingown data

    BT significantly outperformed waitlist controls, with Hedges' g = 0.56 (SE = 0.09, 95% CI [0.73, 6.48], p < .001).

    “(Hedges’ g = 0.56, SE = 0.09, 95% CI: [0.73, 6.48], p < .001)”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The control conditions classified as treatment as usual or author-developed controls did not include the active components of behavioral therapy.
  • May combine two claims.

    Findingown data

    The primary overall heterogeneity analysis suggested that 46% of the variance in effect sizes was due to true between-study differences (Q(9) = 16.44, p = .06), though this effect was not significant.

    “The primary overall heterogeneity analysis (I2) suggested that 46% of the variance in effect sizes was due to true between-study differences (Q(9) = 16.44, p = .06), though this effect was not significant.”
    Quote in the paperSubstantial claim
    • The authors state this as an assumption: The studies included in the random effects analysis are only a sample of the entire population of studies.
  • May combine two claims.

    Findingnone given

    There are now 10 randomized controlled trials available compared to only 5 in the previous analysis.

    “Second, there are now 10 RCTs available compared to only 5 in the previous analysis.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    A recent meta-analysis found that psychosocial substance use interventions effectively reduce cannabis use frequency in adolescents.

    “For example, one recent meta-analysis examining interventions for adolescent cannabis use found psychosocial substance use interventions to effectively reduce cannabis use frequency (Bender, Tripodi, Sarteschi, & Vaughn, 2011).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Bender, Tripodi, Sarteschi, & Vaughn, 2011

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    Improving treatment effectiveness for CUDs may require developing augmentative treatments directly targeting the biobehavioral mechanisms underlying cannabis use maintenance and relapse.

    “Thus, improving treatment effectiveness for CUDs may require developing augmentative treatments directly targeting the biobehavioral mechanisms underlying cannabis use maintenance and relapse.”
    Quote in the paperNot a substantial claim
    • Rests on an assumption: The vast majority of persons with any substance use disorder do not fully benefit from existing intervention protocols.
  • May combine two claims.

    Premisecitation

    Cannabis use among adolescence is particularly problematic, given research indicating potential links between cannabis use in adolescence and increased risk for mental health problems later in life.

    “Indeed, cannabis use among adolescence is particularly problematic, given research indicating potential links between cannabis use in adolescence and increased risk for mental health problems later in life (Large, Sharma, Compton, Slade, & Nielssen, 2011).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Large, Sharma, Compton, Slade, & Nielssen, 2011

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Interpretationreasoning

    Studies utilizing some form of treatment are likely to be more effective than WL due to treatment expectancies and therapist contact.

    “This finding is unsurprising, as studies utilizing some form of treatment are likely to be more effective than WL due to treatment expectancies and therapist contact.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Cannabis use disorders respond to the same types of behavioral interventions as other substance use disorders.

    “over and above these results suggesting that CUDs respond to the same types of behavioral interventions as other SUDs (Dutra et al., 2008; McRae et al., 2003)”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites Dutra et al., 2008

      Not checked in the free run.

    • cites McRae et al., 2003

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    Findings may be considered robust if the required number of studies to reduce the overall effect size to a nonsignificant level exceeds 5K + 10.

    “Rosenthal (1991) suggested that findings may be considered robust if the required number of studies (X) to reduce the overall effect size to a nonsignificant level exceeded 5K + 10 which in this study would be 60.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Rosenthal, 1991

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Many patients do not show a positive treatment response, indicating that cannabis dependence is not easily treated.

    “studies suggest that many patients do not show a positive treatment response, indicating that cannabis dependence is not easily treated”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites McRae, Budney, and Brady, 2003

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    In that previous meta-analysis, the greatest effects were found for cannabis use disorders compared to disorders of other illicit drugs, and the overall average pre- to posttreatment effect size for the five cannabis use disorder randomized controlled trials was Cohen's d = 0.81.

    “Specifically, the overall average pre- to posttreatment effect size calculation for the five CUD randomized controlled trials (RCTs) yielded a Cohen’s d of 0.81 (Dutra et al., 2008).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Dutra et al., 2008

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    Any meta-analysis of published studies may be missing nonsignificant studies and therefore overestimate the overall effect size.

    “Therefore, any meta-analysis of published studies may be missing nonsignificant studies and therefore overestimate the overall effect size.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Bakan, 1967

      Not checked in the free run.

    • cites McNemar, 1960

      Not checked in the free run.

    • cites Smart, 1964

      Not checked in the free run.

  • May combine two claims.

    Study design and conductnone given

    Some included RCTs did not assess for substance abuse/dependence and included cannabis users, while others included only dependent participants.

    “Finally, some of the RCTs included in the analysis did not assess for substance abuse/dependence and included cannabis “Users,” while others included only those participants diagnosed as dependent.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Study design and conductreasoning

    The current study did not compare different forms of behavioral treatments because each version of behavioral treatment is not uniform across studies.

    “Second, the current study did not compare different forms of behavioral treatments (e.g., relapse prevention, motivational enhancement, contingency management, and combinations of these treatments with CBT), as across studies, each version of behavioral treatment is not uniform.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Study design and conductreasoning

    Most RCTs in the review compared two BTs without including a control group (WL, PsychPL, or TAU) and were excluded.

    “First, most RCTs in our review of the literature compared two BTs without including a control group (WL, PsychPL, or TAU); these studies were not included due to our interest in isolating the effects of BTs by comparing to control groups without BT components.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationreasoning

    Increasing endocannabinoid levels during cannabis cessation attempts (i.e., during active BT) may improve outcomes by reducing withdrawal symptoms.

    “Accordingly, increasing endocannabinoid levels during cannabis cessation attempts (i.e., during active BT) may improve outcomes by reducing withdrawal symptoms (Clapper et al., 2009).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Clapper et al., 2009

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationreasoning

    There is a need for the development and evaluation of augmentative intervention strategies relevant to this population.

    “which indicates a need for the development and evaluation of augmentative intervention strategies relevant to this population.”
    Quote in the paperNot a substantial claim
22 of 22
  • The authors state this as an assumption.

    The studies included in the random effects analysis are only a sample of the entire population of studies.

    “Effect sizes were calculated with random effects analyses, which estimate the overall effect size assuming the studies included are only a sample of the entire population of studies.”
  • The paper relies on this without support.

    The control conditions classified as treatment as usual or author-developed controls did not include the active components of behavioral therapy.

    “We chose to only include studies with a control condition (i.e., any conditions that did not appear to include the active components of BT) in order to compare controlled effect sizes.”
  • The authors state this as an assumption.

    The effect sizes of all current or future unpublished studies are equal to 0.

    “A conservative method of addressing this problem is to assume that the effect sizes of all current or future unpublished studies are equal to 0”
  • The paper relies on this without support.

    The vast majority of persons with any substance use disorder do not fully benefit from existing intervention protocols.

    “Indeed, the vast majority of persons with any SUD do not fully benefit from existing intervention protocols.”
4 of 4

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • ConsistentQ(9) = 16.44reported p = .06 · recomputed p = .058

    “Q(9) = 16.44, p = .06”

1 of 1

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Active-control confidence interval contradicts its effect estimate and p-value

    Major

    The reported effect size of 0.14 falls below the stated 95% confidence interval's lower bound of 0.39. That entirely positive interval also conflicts with the reported nonsignificant p-value of .25.

  • Waitlist effect estimate falls outside its reported confidence interval

    Minor

    The reported effect size of 0.56 is below the stated 95% confidence interval's lower bound of 0.73.

2 of 2

Cites

Flagged first, then by citations

Research works printed but not linked: 4

  1. Bakan D., 1967, On method
  2. Borenstein M., 1999, Comprehensive meta-analysis, a computer program for research synthesis
  3. Johnston L. D., 1995, National survey results on drug use from the monitoring the future study, 1975-1994
  4. Johnston L. D., 2003, Monitoring the future: National survey results on drug use, 1975-2002

Cited by

Sorted by citations

Authors
Davis, M. L., Powers, M. B., Handelsman, P., Medina, J. L., Zvolensky, M., & Smits, J. A. J.
Affiliations
  • The University of Texas at Austin (US)
  • Roosevelt University (US)
  • University of Houston (US)
Corresponding author
Davis, Michelle L.
Venue
Evaluation & the Health Professions
Published
2014-04-02
Volume
38
Issue
1
Pages
94-114
ISSN
  • 0163-2787 (ISSN-L)
  • 1552-3918
OpenAlex
W2170981263
Cited by
114
References
65
Citations by year
2026: 7 · 2025: 8 · 2024: 8 · 2023: 9 · 2022: 5 · 2021: 10 · 2020: 12 · 2019: 15 · 2018: 13 · 2017: 12 · 2016: 7 · 2015: 6 · 2014: 2
FWCI
1.20
Type
journal article
Language
en
Open access
Locations
  • Evaluation & the Health Professions (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
Funders
  • National Institutes of Health (5r01da027533-04)
  • National Institute on Drug Abuse (R01-DA027533, R34DA031038, F31DA036919, K01DA035930)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Health Sciences › Medicine › Pharmacology › Cannabis and Cannabinoid Research
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
Keywords
cannabis use disorder, behavior therapy, contingency management, relapse prevention, motivational interviewing, cognitive behavioral therapy, treatment effectiveness, waitlist control, active control, psychosocial functioning
MeSH terms
Marijuana Abuse, Humans, Patient Acceptance of Health Care, Severity of Illness Index, Cognitive Behavioral Therapy, Randomized Controlled Trials as Topic

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.

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