Evidence map›Paper›PMID 37331303›Full record

ArticleDrug and alcohol dependence2023

Subjective effects as predictors of substance use disorders in a clinical sample: A longitudinal study.

Shelley A Gresko, Maya Rieselbach, Robin P Corley, Christian J Hopfer, Michael C Stallings, John K Hewitt, Soo Hyun Rhee

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
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

7 authors.

Shelley A GreskoDepartment of Psychology and Neuroscience, University of Colorado Boulder, United States; Institute for Behavioral Genetics, University of Colorado Boulder, United States. Electronic address: shelley.gresko@colorado.edu.
Maya RieselbachDepartment of Psychology and Neuroscience, University of Colorado Boulder, United States; Institute for Behavioral Genetics, University of Colorado Boulder, United States.
Robin P CorleyInstitute for Behavioral Genetics, University of Colorado Boulder, United States.
Christian J HopferInstitute for Behavioral Genetics, University of Colorado Boulder, United States; University of Colorado Denver Medical School, United States.
Michael C StallingsDepartment of Psychology and Neuroscience, University of Colorado Boulder, United States; Institute for Behavioral Genetics, University of Colorado Boulder, United States.
John K HewittDepartment of Psychology and Neuroscience, University of Colorado Boulder, United States; Institute for Behavioral Genetics, University of Colorado Boulder, United States.
Soo Hyun RheeDepartment of Psychology and Neuroscience, University of Colorado Boulder, United States; Institute for Behavioral Genetics, University of Colorado Boulder, United States.

Funding

Twin StudyP60DA011015 · NIDA · UNIVERSITY OF COLORADO DENVER · PI HEWITT, JOHN K. · 1997 to 2013
$22.5M
Research Training-Genetics of Substance AbuseT32DA017637 · NIDA · UNIVERSITY OF COLORADO AT BOULDER · PI STITZEL, JERRY A · 2004 to 2023
$5.3M
Genetics and Progression of Early-onset Substance Dependence and HIV RiskR01DA035804 · NIDA · UNIVERSITY OF COLORADO DENVER · PI HOPFER, CHRISTIAN J, STALLINGS, MICHAEL CRAIG · 2014 to 2018
$4.9M
Adult Progression of Adolescent Onset Substance Use Disorder in a High Risk SampleR01DA053693 · NIDA · UNIVERSITY OF COLORADO DENVER · PI Christian J Hopfer, Michael Craig Stallings · 2022 to 2026
$3.2M
NIDA NIH HHS P60 DA011015NIDA NIH HHS R01 DA035804NIDA NIH HHS R01 DA053693NIDA NIH HHS T32 DA017637
6 · The paper itself

Abstract

backgroundThe literature on the association between subjective effects (SEs; i.e., how an individual perceives their physiological and psychological reactions to a drug) and substance use disorders (SUDs) is largely limited to community samples. The present study addressed the following aims in a clinical sample: whether SEs predict general versus substance-specific SUD in adolescence and adulthood after controlling for conduct disorder symptoms (CDsymp); whether SEs predict SUDs across drug classes; whether SEs predict change in SUD from adolescence to adulthood; and whether there are racial/ethnic differences in associations.

methodsLongitudinal analyses were conducted using data from a sample of 744 clinical probands recruited from residential and outpatient SUD treatment facilities in CO during adolescence (M

resultsSEs assessed in adolescence robustly predicted general SUD for legal and illegal substances in adolescence and adulthood, whereas CDsymp predicted SUD primarily in adolescence. Higher positive and negative SEs in adolescence were associated with greater SUD severity after controlling for CDsymp, with similar magnitudes. Results indicated cross-substance effects of SEs on SUD. We found no evidence for racial/ethnic differences in associations.

conclusionsWe investigated the progression of SUD in a high-risk sample with greater odds of sustained SUD. In contrast to CDsymp, both positive and negative SEs consistently predicted general SUD across substances in adolescence and adulthood.

Indexed as

Conduct DisorderSubstance-Related DisordersAdolescentHumansLongitudinal StudiesAdolescentsAdultsClinical sampleConduct disorderLongitudinalPolysubstance useSubjective effectsSubstance use disorder

Identifiers

PMID37331303
PMCPMC10851615

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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.