Evidence map›Paper›PMID 41646030›Full record

ArticlePsychological medicine2026

Impulsivity-related predictors of adolescent substance use initiation.

Jodi Gilman, Kevin Potter, Jasmeen Kaur, Phil Lee, Randi Schuster, James Bjork, Alexander Weigard, A Eden Evins, Joshua Roffman, Brenden Tervo-Clemmens

Abstract read
In one paragraph

Article in Psychological medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Jodi Gilmanhttps://ror.org/002pd6e78Massachusetts General Hospital, USA.ORCID https://orcid.org/0000-0001-5180-6694
Kevin Potterhttps://ror.org/002pd6e78Massachusetts General Hospital, USA.
Jasmeen Kaurhttps://ror.org/002pd6e78Massachusetts General Hospital, USA.ORCID https://orcid.org/0009-0009-7721-0499
Phil Leehttps://ror.org/002pd6e78Massachusetts General Hospital, USA.ORCID https://orcid.org/0000-0003-1770-3100
Randi Schusterhttps://ror.org/002pd6e78Massachusetts General Hospital, USA.ORCID https://orcid.org/0000-0002-5710-9301
James Bjorkhttps://ror.org/057xmsr27Virginia Commonwealth University, USA.ORCID https://orcid.org/0000-0003-0593-3291
Alexander Weigardhttps://ror.org/01zcpa714University of Michigan Medicine School, USA.
A Eden Evinshttps://ror.org/002pd6e78Massachusetts General Hospital, USA.
Joshua Roffmanhttps://ror.org/002pd6e78Massachusetts General Hospital, USA.
Brenden Tervo-Clemmenshttps://ror.org/017zqws13University of Minnesota, USA.

Funding

Leveraging complementary big data methods and patient intervention designs to optimize neural markers of adolescent cannabis useK23DA057486 · NIDA · UNIVERSITY OF MINNESOTA · PI Brenden Craig Tervo-Clemmens · 2023 to 2026
$782k
Using Neuroimaging Markers to Understand Risk Factors and Consequences of Cannabis on Brain Structure and FunctionK02DA052684 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI GILMAN, JODI · 2021 to 2025
$642k
NIDA NIH HHS K02 DA052684NIDA NIH HHS K02DA052684NIDA NIH HHS K23 DA057486
6 · The paper itself

Abstract

backgroundNeurodevelopmental models regard impulsivity as a central risk factor for adolescent substance use. However, the practical utility of impulsivity in predicting substance use is complicated by variability among measures that encompass multiple methods and theoretical domains. Prior research has been constrained by cross-sectional designs, small sample sizes, and/or the use of a narrow subset of impulsivity measures.

methodLeveraging the ABCD dataset (

findingsCorrelations between questionnaire and behavioral measures of impulsivity were small, and questionnaires significantly outperformed behavioral measures in predicting substance use initiation, largely due to the contribution of the CBCL externalizing scale. Predictions of substance use based on impulsivity were statistically detectable but small according to clinical standards (AUCs 0.6-0.76), exhibiting sensitivity to sample size and base rate of substance use, and thus, poor absolute predictive performance. Large samples (

conclusionThese results support a significant but small contribution of impulsivity in predicting the onset of early adolescent substance use, indicating that these factors alone are insufficient for clinically deployable prediction. In community samples, large sample sizes are needed for reproducible impulsivity prediction of adolescent substance use.

Indexed as

Adolescent BehaviorImpulsive BehaviorSubstance-Related DisordersAdolescentFemaleHumansLongitudinal StudiesMalePrediction AlgorithmsRisk FactorsSurveys and Questionnairesadolescencealcoholassessmentcannabisimpulsivitynicotinesubstance use initiation

Identifiers

PMID41646030
PMCPMC12890431

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.