Evidence map›Paper›PMID 41109054›Full record

ArticleDrug and alcohol dependence2025

Simultaneous alcohol and cannabis use is associated with daily consequences reflective of alcohol use disorder symptoms.

Lindy K Howe, Olivia L Bolts, Jane Metrik, Rachel L Gunn

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Lindy K HoweCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, USA. Electronic address: lindy_howe@brown.edu.
Olivia L BoltsAlpert Medical School of Brown University, Department of Psychiatry and Human Behavior, Providence, RI, USA.
Jane MetrikCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, USA; Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, Providence, RI, USA; Providence VA Medical Center, Providence, RI 02908, USA.
Rachel L GunnCenter for Alcohol and Addiction Studies, Brown University School of Public Health, Providence, RI 02903, USA; Alpert Medical School of Brown University, Department of Psychiatry and Human Behavior, Providence, RI, USA.

Funding

Substance Abuse Intervention/Outcome Research TrainingT32DA016184 · NIDA · BROWN UNIVERSITY · PI Damaris J. Rohsenow, JENNIFER W. TIDEY · 2003 to 2026
$6.1M
Ambulatory Assessment of Simultaneous Alcohol and Marijuana Use: Impact on Alcohol Use and ConsequencesK08AA027551 · NIAAA · BROWN UNIVERSITY · PI GUNN, RACHEL LYN · 2019 to 2023
$935k
NIAAA NIH HHS K08 AA027551NIDA NIH HHS T32 DA016184
6 · The paper itself

Abstract

Alcohol use is common in the U.S., with 10.9 % of adults meeting criteria for alcohol use disorder (AUD) in 2023. Co-use of alcohol and cannabis is also widespread and is associated with increased alcohol-related harms. Few studies have examined how different co-use patterns, such as simultaneous (same day use with overlapping effects) versus concurrent (same day use without overlapping effects) use affect alcohol-related consequences, particularly those reflecting AUD symptoms. This study compares the associations between daily simultaneous, concurrent, and alcohol-only use patterns with the likelihood of endorsing alcohol consequences categorized as AUD symptoms. Participants (N = 116, 56 % female at birth, M

Indexed as

AlcoholAlcohol-related consequencesAUDCo-useSimultaneous use

Identifiers

PMID41109054
PMCPMC13020575

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.