Evidence map›Paper›PMID 41854109›Full record

ArticleJournal of studies on alcohol and drugs2026

Detection of Party Drugs on Mobile Phones in Relation to Self-Reported Use and Oral Fluid Detection Among NYC Nightclub Attendees.

Joseph J Palamar, Nina Abukahok, Max T Denn, Patricia Acosta, Charles M Cleland, Sara E Walton, Brianna Stang, Alex J Krotulski

Abstract read
In one paragraph

Article in Journal of studies on alcohol and 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.

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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

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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

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5 · Who and what money

Authors and funding

8 authors.

Joseph J PalamarDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Nina AbukahokDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Max T DennCenter for Forensic Science Research and Education, Fredric Rieders Family Foundation, 206 Welsh Road, Horsham, PA, USA.
Patricia AcostaDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Charles M ClelandDepartment of Population Health, NYU Grossman School of Medicine, New York, NY, USA.
Sara E WaltonCenter for Forensic Science Research and Education, Fredric Rieders Family Foundation, 206 Welsh Road, Horsham, PA, USA.
Brianna StangCenter for Forensic Science Research and Education, Fredric Rieders Family Foundation, 206 Welsh Road, Horsham, PA, USA.
Alex J KrotulskiCenter for Forensic Science Research and Education, Fredric Rieders Family Foundation, 206 Welsh Road, Horsham, PA, USA.

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
New psychoactive substance exposure among NYC nightclub and festival attendeesR01DA057289 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Joseph J Palamar · 2023 to 2026
$2.7M
Investigating the Ketamine Landscape: Availability, Medical and Recreational Use, and EffectsR01DA060207 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Joseph J Palamar · 2024 to 2026
$2.1M
NIDA NIH HHS P30 DA011041NIDA NIH HHS R01 DA057289NIDA NIH HHS R01 DA060207
6 · The paper itself

Abstract

objectivesSelf-report and biospecimen testing to assess drug exposure have limitations. Surface testing of personal objects (e.g., mobile phones) may provide complementary information about drug exposure, particularly when there is discordance between biospecimen results and self-report. We examined whether mobile phone swab testing, alongside self-report and oral fluid data, could provide information regarding drug exposure among nightlife attendees-a population with high prevalence of party drug use. We also examined whether detection could inform situations in which a drug is detected in oral fluid but not reportedly used.

methodsIn 2025, we assessed self-reported drug use and analyzed oral fluid and swabs of mobile phones from 127 adults attending nightclubs in New York City. We compared the prevalence of detection of cocaine, ketamine, 3,4-methylenedioxymethamphetamine (MDMA), and 4-methylmethcathinone (4-MMC) across the three modes of collection.

resultsCocaine was detected on 26.8% of phones, followed by ketamine (22.0%), 4-MMC (3.1%), and MDMA (2.4%). When classifying phone detection, reported past-48-hour use and oral fluid detection of cocaine and ketamine demonstrated high specificity (0.85-0.91), but lower sensitivity (0.37-0.73). Among participants with oral fluid positivity after not reporting use, 33.3% and 17.1% of these discordant cases had ketamine and cocaine detected on their phones, respectively.

conclusionsPhone swab results often align with self-reported use and, less consistently with biologically confirmed exposure. However, drugs detected on phones may reflect less recent use or unintentional environmental sources contributing to oral fluid detection, supporting the role of phone swabbing as a complementary tool for detecting possible drug exposure.

Indexed as

4-methylmethcathinonecocainedrug detectionketamineMDMAoral fluid testingsurface swabbing

Identifiers

PMID41854109
PMCPMC13012264

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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.