Evidence map›Paper›PMID 42717708›Full record

ArticleJournal of psychoactive drugs2026

Motives and Risk Perceptions Among Young Adults Engaged in Frequent Vaping and Dual Cannabis Use: Implications for Prevention and Intervention.

Patricia A Cavazos-Rehg, Xiao Li, Layna Paraboschi, Erin Kasson, Lucy Meigs, Ming Huang, Dezhi Wu, Li-Shiun Chen

Abstract read
In one paragraph

Article in Journal of psychoactive drugs, 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

8 authors.

Patricia A Cavazos-RehgDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Xiao LiDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Layna ParaboschiDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Erin KassonDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Lucy MeigsDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.
Ming HuangMcWilliams School of Biomedical Informatics, The University of Texas Health Science Center, Houston, TX, USA.
Dezhi WuMolinaroli College of Engineering and Computing, University of South Carolina, Columbia, SC, USA.
Li-Shiun ChenDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA.

Funding

Testing the feasibility and acceptability of social media and digital therapeutics to decrease vaping behaviorsR34DA054725 · NIDA · WASHINGTON UNIVERSITY · PI CAVAZOS-REHG, PATRICIA A · 2022 to 2024
$713k
NIDA NIH HHS R34 DA054725
6 · The paper itself

Abstract

Many young adults use vaping products to vape both nicotine and cannabis. Yet, there is a dearth of understanding on their motives for use and risk perceptions of vaping that could have significant clinical implications for designing interventions. In this study, social media was used to recruit 97 young adults aged 15-25 who reported vaping in the past month. Participants completed an online survey assessing vaping behaviors, perceived risks of vaping, and interest in treatment. Descriptive statistics and differences between participants vaping nicotine only and those vaping nicotine and cannabis (dual use) are reported. Vaping was found to be frequent and consistent among all participants, reported on average 25 of the past 30 days. Half of participants reported vaping nicotine only (

Indexed as

Anxietycannabisdual usenicotineVapingyoung adults

Identifiers

PMID42717708
PMCPMC13588472

What OpenQuestion holds

Textmetadata
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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.