Evidence map›Paper›PMID 39676323›Full record

ArticleSubstance use & misuse2025

High in the Cloud: Alcohol-, Cannabis-, and Co-Use Before and During Remote Research Participation.

Liana S E Hone, Shahar Almog, Abigail P Masterson, Meredith S Berry

Abstract read
In one paragraph

Article in Substance use & misuse, 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

4 authors.

Liana S E HoneDepartment of Health Education and Behavior, University of Florida, Gainesville, Florida, USA.
Shahar AlmogDepartment of Health Education and Behavior, University of Florida, Gainesville, Florida, USA.
Abigail P MastersonDepartment of Health Education and Behavior, University of Florida, Gainesville, Florida, USA.
Meredith S BerryDepartment of Health Education and Behavior, University of Florida, Gainesville, Florida, USA.

Funding

Translational Science Training to Reduce the Impact of Alcohol on HIV InfectionT32AA025877 · NIAAA · UNIVERSITY OF FLORIDA · PI Robert L Cook, DEBRA E LYON · 2018 to 2026
$3.3M
Opioid-Sparing and Pain-Reducing Properties of Syntocinon: A Dose-Effect DeterminationK01DA052673 · NIDA · UNIVERSITY OF FLORIDA · PI Meredith Berry · 2022 to 2026
$916k
The potential of oxytocin to reduce opioid abuse liability and pain among older adultsR21DA056813 · NIDA · UNIVERSITY OF FLORIDA · PI BERRY, MEREDITH, CRUZ-ALMEIDA, YENISEL · 2023 to 2024
$419k
NRSA: Sex Differences in Intoxicated Sexual Interest Judgements and Risk PerceptionsF32AA025830 · NIAAA · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI HONE, LIANA SENNETH ELLIOTT · 2017 to 2018
$122k
NIAAA NIH HHS F32 AA025830NIAAA NIH HHS L30 AA027013NIAAA NIH HHS T32 AA025877NIDA NIH HHS K01 DA052673NIDA NIH HHS L30 DA052084NIDA NIH HHS R21 DA056813
6 · The paper itself

Abstract

objectiveThe use of crowdsourcing for addiction research has increased exponentially in recent years, but the extent to which the populations we expect results to generalize to might be engaging in substance use while participating in remote research has not been formally quantified. Understanding rates of day-of-study substance use on crowdsourcing platforms may be especially relevant given immediately recent use can alter cognitive and behavioral decision-making processes (e.g., attention, behavioral economic drug purchase tasks) that are often the focus of online substance use research.

methodThe purpose of this study is to (1) characterize rates of substance use (i.e., alcohol, cannabis, or both) among 790 Prolific workers on the day of the study, within the past three hours, and since starting the study; (2) provide sample demographic descriptive statistics, typical substance use patterns, and their associations with day-of use; and (3) evaluate whether day-of use is associated with time taken to complete the study and performance on attention checks.

resultsDay-of use was greater than 10%, primarily consisted of cannabis use, and several general use patterns were associated with day-of use (e.g., past year binge drinking was associated with day-of cannabis use). Day-of use was not associated with longer study completion times; attention check analyses were inconclusive.

conclusionConsidering these results, we provide suggestions for best practices when crowdsourcing data for addiction research and advocate for future studies that use naturalistic experiments to complement laboratory drug- and alcohol-administration studies.

Indexed as

Alcohol DrinkingBehavioral ResearchCrowdsourcingMarijuana UseResearch SubjectsTime FactorsAdolescentAdultFemaleHumansMaleYoung AdultAlcohol, CannabisCrowdsourceMTurkOnline studyProlificRemote research

Identifiers

PMID39676323
PMCPMC12042356

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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.