Evidence map›Paper›PMID 41677773›Full record

ArticleAddiction (Abingdon, England)2026

The Polysubstance Assessment Tool: Reliability, acceptability and feasibility of a novel measure of polysubstance use.

Amanda M Bunting, Charles M Cleland, S Michaela Barratt, Brittany Griffin, Jaimee Williams, Carrie B Oser, Joshua D Lee, Jennifer McNeely

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Amanda M BuntingDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0002-2103-9655
Charles M ClelandDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
S Michaela BarrattDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Brittany GriffinDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Jaimee WilliamsDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Carrie B OserDepartment of Behavioral Science, Center on Drug & Alcohol Research, Center for Health, Engagement, and Transformation, University of Kentucky, Lexington, KY, USA.
Joshua D LeeDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
Jennifer McNeelyDepartment of Population Health, New York University Grossman School of Medicine, New York, NY, USA.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Development of a novel polysubstance assessment tool for vulnerable subpopulationsK01DA053435 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BUNTING, AMANDA M · 2021 to 2025
$909k
NCATS NIH HHS UL1 TR001445NIDA NIH HHS K01 DA053435NIDA NIH HHS K01DA053435NIDA NIH HHS P30 DA011041NIDA NIH HHS P30DA011041
6 · The paper itself

Abstract

BACKGROUND AND

aimsThere are currently no brief quantitative assessments that capture the drug patterns of people who engage in use of more than one drug on the same day or simultaneously. The current study examined the retest reliability, acceptability and feasibility of a new quantitative assessment to measure polysubstance use.

designA tool for assessing simultaneous and same-day polysubstance behaviors, the polysubstance assessment tool (PAT) was developed in interviewer-administered and electronic self-administered formats. Participants were allocated 1:1 to receive either version of the PAT and returned one to three days later to repeat the assessment.

settingNew York City, New York, USA.

participantsAdults (18 + years, n = 115) who reported use of more than one drug per day in the last 30 days. MEASUREMENTS: Test-retest reliability estimates for dichotomous items were assessed using Cohen's kappa, Gwet's Agreement Coefficient 1 (AC1) and percent agreement. Continuous items were assessed with two-way mixed effects intraclass correlations. Bivariate analyses examined acceptability using nine Likert-type survey questions. Feasibility was examined via time to completion.

findingsOverall reliability was moderate to excellent [Gwet's AC1 range 0.70-0.96; intraclass correlation (ICC) range 0.62-0.88]. Reliability was higher for simultaneous polysubstance use (Gwet's AC1 = 0.90) as compared with same-day (Gwet's AC1 = 0.70). Acceptability was high, with no statistically significant difference between the self- and interviewer-administered versions of the tool. Median time to completion was 7 minutes, and was statistically significantly lower for the self-administered tool (median = 5 minutes) compared with the interviewer-administered version (median = 8 minutes) (P < 0.001).

conclusionsA new polysubstance assessment tool appears to have good reliability and can be considered by researchers seeking a quantitative measure of polysubstance use behaviors given its simplicity, high acceptability and quick completion time.

Indexed as

Substance-Related DisordersAdolescentAdultFeasibility StudiesFemaleHumansMaleMiddle AgedNew York CityPsychometricsReproducibility of ResultsSurveys and QuestionnairesYoung Adultinstrument developmentmeasurementoverdosepolysubstance usepsychometricsreliability

Identifiers

PMID41677773
PMCPMC13155277

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.