Approach Bias Modification for the Treatment of Cannabis Use Disorder

NCT03629990 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 104

Last updated 2024-12-17

Study results available
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Summary

Effective and durable treatments for cannabis use disorder remain elusive. Given the increasing prevalence rates of cannabis use and CUD nationwide, investigation of novel treatments is warranted. Implicit cognitive processing is an emerging, and potentially critical therapeutic target.

Cognitive models of addiction posit an override of explicit control-related cognitive processes by implicit reward-driven processes resulting from chronic drug exposure. One form of implicit cognitive processing is approach bias, or, the automatic tendency to approach rather than avoid drug cues, which has been identified for alcohol, nicotine, opioids, and cannabis. Cannabis approach bias predicts increased cannabis use, dependence severity, and cannabis-related problems among heavy cannabis users. Approach bias modification (ABM) is a novel treatment approach that seeks to reduce approach bias by attenuating the incentive-salience of drug cues, and subsequently, drug cue reactivity and drug use. ABM has been shown to reduce relapse rates in alcohol dependent adults by 10-13% at one-year follow-up, and dependence severity in nicotine dependent adults. Our pilot data suggests that ABM may also reduce cannabis craving and that gender may moderate the effect of ABM on cannabis sessions per day in non-treatment seeking adults with CUD. A recent fMRI study with alcohol-dependent adults found decreased mesolimbic activation in participants who received ABM compared to sham-control participants. ABM appears to target implicit reward-driven processes, and could be an effective adjunct to traditional psychosocial and/or future pharmacological interventions that target explicit control-related processes.

Building on our promising feasibility data, the proposed K23 research study will examine the effects of ABM on cue-reactivity and cannabis outcomes in a four-session randomized, double-blind, sham-controlled pilot treatment trial. One-hundred and six (106) treatment-seeking adults with moderate to severe CUD will be randomized to receive either MET/CBT plus ABM or Motivational Enhancement Therapy/Cognitive Behavioral Therapy(MET/CBT) plus sham-ABM. An equal number of men and women will be recruited and randomization will be stratified by gender. ABM sessions will occur following each of the three weekly MET/CBT therapy sessions. Primary outcomes will include cannabis cue-reactivity and cannabis use.

Conditions

  • Cannabis Use Disorder

Interventions

BEHAVIORAL

Approach Bias Modification (ABM)

Approach bias modification (ABM) is a novel treatment that involves retraining the implicit action tendency to approach a drug cue by manipulating contingencies in a stimulus-response paradigm.

BEHAVIORAL

Sham ABM

Sham ABM involves similar computerized procedures that mimic the active experimental condition, but do not involve manipulation of response contingencies and thus it does not contain any "active" intervention.

BEHAVIORAL

Psychosocial therapy for cannabis use disorder.

All participants will receive psychosocial therapy for cannabis use disorder.

Sponsors & Collaborators

  • National Institute on Drug Abuse (NIDA)

    collaborator NIH
  • Medical University of South Carolina

    lead OTHER

Principal Investigators

  • Brian J Sherman, Ph.D. · Medical University of South Carolina

Study Design

Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
QUADRUPLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-01-16
Primary Completion
2023-10-30
Completion
2023-10-30

Countries

  • United States

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT03629990 on ClinicalTrials.gov