Evidence map›Paper›PMID 33357604›Full record

Trial reportJournal of substance abuse treatment2021

Impact of a computerized intervention for high distress intolerance on cannabis use outcomes: A randomized controlled trial.

Richard J Macatee, Brian J Albanese, Sarah A Okey, Kaveh Afshar, Meghan Carr, M Zachary Rosenthal, Norman B Schmidt, Jesse R Cougle

Open access · greenAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of substance abuse treatment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Impact of a computerized distress intolerance intervention on electrocortical reactivity to cannabis and threat cues: A randomized controlled trial.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Trial
  3. Article
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  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Richard J MacateeDepartment of Psychology, Auburn University, Auburn, AL, USA. Electronic address: rjm0046@auburn.edu.
Brian J AlbaneseDepartment of Psychology, Auburn University, Auburn, AL, USA.
Sarah A OkeyDepartment of Psychology, Arizona State University, Tempe, AZ, USA.
Kaveh AfsharDepartment of Psychology, Auburn University, Auburn, AL, USA.
Meghan CarrDepartment of Psychology, Auburn University, Auburn, AL, USA.
M Zachary RosenthalPsychiatry and Behavioral Sciences, Duke University Medical Center, Durham, NC, USA; Psychology and Neuroscience, Duke University, Durham, NC, USA.
Norman B SchmidtDepartment of Psychology, Florida State University, Tallahassee, FL, USA.
Jesse R CougleDepartment of Psychology, Florida State University, Tallahassee, FL, USA.
Auburn University · USFlorida State University · USArizona State University · USDuke University · US

Funding

Computerized Intervention for Distress IntoleranceF31DA039644 · NIDA · FLORIDA STATE UNIVERSITY · PI MACATEE, RICHARD · 2016 to 2017
$59k
NIDA NIH HHS F31 DA039644
6 · The paper itself

Abstract

objectivePrevalence of regular cannabis use and cannabis use disorder (CUD) have increased in the past two decades, but treatment-seeking is low and extant brief interventions do not target causal risk factors implicated in etiological models of addiction. Elevated distress intolerance (DI) is one risk factor that has been empirically linked with greater CUD severity and maintenance in regular users, but, to our knowledge, research has never targeted it in a brief intervention among cannabis users with CUD or at high risk. The current RCT evaluated the impact of a DI intervention (i.e., Distress Tolerance Intervention [DTI]) compared to a healthy habits control intervention (i.e., Healthy Video Control [HVC]) on DI and cannabis use outcomes.

methodWe randomized cannabis users with high DI (N = 60) to the DTI or HVC condition and they received two computerized intervention sessions. We assessed relief cannabis craving at pre- and post-treatment; and we assessed DI, cannabis use coping motives, use-related problems, and use frequency at pre- and post-treatment as well as one- and four-month follow-ups. We assessed CUD symptoms via interviews at pre-treatment and four-month follow-up.

resultsSignificant, durable reductions in DI and all cannabis use outcomes occurred in both conditions. Compared to the HVC condition, the DTI led to greater reductions in use frequency during the treatment period. Reductions in self-reported DI were correlated with reductions in coping motives and CUD symptoms.

conclusionThe DTI's impact on all outcomes was largely comparable to the control condition, though it may have utility as an adjunctive intervention.

Indexed as

CravingAdaptation, PsychologicalAdultCannabisFemaleHumansMaleMarijuana AbuseMotivationPsychological DistressStress, PsychologicalTreatment OutcomeCannabis use disorderComputerized interventionDistress intolerance

Identifiers

PMID33357604
PMCPMC7770335
OpenAlexW3094833812

What OpenQuestion holds

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Registered trials

None linked

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.