Evidence map›Paper›PMID 41343354›Full record

ArticleExperimental and clinical psychopharmacology2025

Detecting spatiotemporal clusters of tobacco and cannabis use and co-use to inform smartphone-based interventions.

Jasmin Jiuying Han, Michael R Desjardins, Julia McQuoid, Janardan Devkota, Joseph J C Waring, Kekoa Lopez-Paguyo, Nhung Nguyen, Pamela M Ling, Johannes Thrul

Abstract read
In one paragraph

Article in Experimental and clinical psychopharmacology, 2025. 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
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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

9 authors.

Jasmin Jiuying HanDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.ORCID 0000-0002-8017-1226
Michael R DesjardinsDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University.
Julia McQuoidDepartment of Family and Preventive Medicine, Tobacco Settlement Endowment Trust Health Promotion Research Center, University of Oklahoma Health Sciences.
Janardan DevkotaDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.
Joseph J C WaringDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.
Kekoa Lopez-PaguyoCenter for Tobacco Control Research and Education, University of California, San Francisco.
Nhung NguyenCenter for Tobacco Control Research and Education, University of California, San Francisco.
Pamela M LingCenter for Tobacco Control Research and Education, University of California, San Francisco.
Johannes ThrulDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University.ORCID 0000-0001-8929-9579

Funding

Tissue Pathology Shared ResourceP30CA225520 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI ROBERT S. MANNEL · 2018 to 2026
$27.1M
NIDA Epidemiology Training Program: Johns Hopkins UniversityT32DA007292 · NIDA · JOHNS HOPKINS UNIVERSITY · PI RENEE M. JOHNSON, Brion S Maher · 1993 to 2026
$17.7M
Testing the impact of smartphone-based messaging to support young adult smoking cessationR01CA246590 · NCI · JOHNS HOPKINS UNIVERSITY · PI THRUL, JOHANNES · 2020 to 2025
$1.8M
NCI NIH HHS P30 CA225520NCI NIH HHS R01 CA246590NIDA NIH HHS T32 DA007292
6 · The paper itself

Abstract

Co-use of tobacco and cannabis poses adverse health consequences. Few studies have incorporated spatial analysis into smartphone-based assessments of co-use. This study aims to detect patterns of tobacco and cannabis co-use to inform the delivery of tailored interventions. We analyzed data from 30 young adults aged 18-30 in Northern California who used both tobacco and cannabis. Substance use/nonuse events were collected on participants' smartphones via geographic ecological momentary assessment over 30 days. Substance use events were categorized as tobacco use, cannabis use, or co-use and analyzed using the Space-Time Permutation Scan Statistic to identify distinct spatiotemporal clusters. Cluster characteristics were summarized to further explore use patterns. Substance use events showed clear clustering patterns in space and time, with 76% of events captured within clusters (interquartile range = 69%-87%). The number of tobacco use clusters peaked in the afternoon and dropped in the evening, while cannabis and co-use clusters peaked in the evening. Home was consistently a prevalent location. Additionally, tobacco use was clustered at others' homes (42.9%) in the early morning and then shifted to work (34.5%). Cannabis use clustered at work (17.6%) in the morning. Co-use clustered at others' homes (18.2%) in the early morning and then shifted to work (18.2%). This study identified individual patterns of tobacco and cannabis use on an event-level basis. Findings can inform the development of smartphone-based interventions that use contextual data to align with established co-use routines and intervene at the most likely times and locations of use. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Indexed as

Marijuana SmokingMarijuana UseSmartphoneTobacco UseAdolescentAdultCaliforniaEcological Momentary AssessmentFemaleHumansMaleSpatio-Temporal AnalysisYoung Adult

Identifiers

PMID41343354
PMCPMC12774385

What OpenQuestion holds

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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.