Evidence map›Paper›PMID 38706327›Full record

ArticleThe American journal of psychiatry2024

Predictors of Substance Use Initiation by Early Adolescence.

ReJoyce Green, Bethany J Wolf, Andrew Chen, Anna E Kirkland, Pamela L Ferguson, Brittney D Browning, Brittany E Bryant, Rachel L Tomko, Kevin M Gray, Louise Mewton and 1 more

Abstract read
In one paragraph

Article in The American journal of psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Longitudinal neurocognitive trajectories in a large cohort of youth who use cannabis: combining self-report and toxicology.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  5. Article
  6. Article
  7. Risk calculation circuit abnormalities plus psychosocial risk variables predict problematic substance use in youth with externalizing disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. The Brain Age Gap as a Predictor of Alcohol Initiation in Adolescence.bioRxiv : the preprint server for biology · 2026
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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  20. Review
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

11 authors.

ReJoyce GreenDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Bethany J WolfDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Andrew ChenDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Anna E KirklandDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Pamela L FergusonDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Brittney D BrowningDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Brittany E BryantDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Rachel L TomkoDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Kevin M GrayDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Louise MewtonDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).
Lindsay M SquegliaDepartment of Psychiatry and Behavioral Sciences (Green, Kirkland, Browning, Bryant, Tomko, Gray, Squeglia) and Department of Public Health Sciences (Wolf, Chen, Ferguson), Medical University of South Carolina, Charleston; Matilda Centre for Research in Mental Health and Substance Use, University of Sydney, Sydney, Australia (Mewton).

Funding

ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
NCATS NIH HHS UL1 TR001450NIAAA NIH HHS K24 AA031052NIAAA NIH HHS R01 AA030575NIAAA NIH HHS T32 AA007474NIDA NIH HHS K12 DA031794NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147
6 · The paper itself

Abstract

objectiveSubstance use initiation during early adolescence is associated with later development of substance use and mental health disorders. This study used various domains to predict substance use initiation, defined as trying any nonprescribed substance (e.g., alcohol, tobacco, cannabis), by age 12, using a large longitudinal data set.

methodsSubstance-naive youths from the Adolescent Brain Cognitive Development Study (ages 9-10; N=6,829) were followed for 3 years. A total of 420 variables were examined as predictors of substance use initiation, using a penalized logistic regression with elastic net; domains spanned demographic characteristics, self and peer involvement with substance use, parenting behaviors, mental and physical health, culture and environment, hormones, neurocognitive functioning, and structural neuroimaging.

resultsBy age 12, 982 (14.4%) children reported substance initiation, with alcohol being the most common. Models with only self-report predictors had similar prediction performance to models adding hormones, neurocognitive factors, and neuroimaging predictors (AUC

conclusionsSociodemographic variables were the most robust predictors of substance use initiation. Adding resource-intensive measures, including hormones, neurocognitive assessment, and structural neuroimaging, did not improve prediction of substance use initiation. The application of these large-scale findings in clinical settings could help to streamline and tailor prevention and early intervention efforts.

Indexed as

Substance-Related DisordersAdolescentAdolescent BehaviorChildFemaleHumansLongitudinal StudiesMaleParentingRisk FactorsChild/Adolescent PsychiatryDevelopmentSubstance-Related and Addictive Disorders

Identifiers

PMID38706327
PMCPMC11411615

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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.