Evidence map›Paper›PMID 40617507›Full record

ArticleJournal of substance use and addiction treatment2025

Beyond frequency of use: Exploring additional metrics for quantifying cocaine use and their relation to life functioning and treatment outcome.

Samantha Ellis, Rachel Sun, Angela Heads, Jin Ho Yoon, Heather Webber, Joy Schmitz, Margaret Wardle

Abstract read
In one paragraph

Article in Journal of substance use and addiction treatment, 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
–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

7 authors.

Samantha EllisUniversity of Illinois at Chicago, Department of Psychology, United States.
Rachel SunUniversity of Illinois Urbana-Champaign, Departments of Psychology and Statistics, United States.
Angela HeadsUniversity of Texas Health Science Center at Houston, United States.
Jin Ho YoonUniversity of Texas Health Science Center at Houston, United States.
Heather WebberUniversity of Texas Health Science Center at Houston, United States.
Joy SchmitzUniversity of Texas Health Science Center at Houston, United States.
Margaret WardleUniversity of Illinois at Chicago, Department of Psychology, United States. Electronic address: mwardle@uic.edu.

Funding

Pioglitazone as an adjunct to CBT for cocaine relapse preventionR01DA048026 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LANE, SCOTT D, SCHMITZ, JOY MARIE · 2020 to 2023
$2.5M
Developing Adaptive Interventions for Cocaine Cessation and Relapse PreventionR01DA039125 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SCHMITZ, JOY MARIE · 2016 to 2019
$1.9M
Targeting Anhedonia in Cocaine Use DisorderK08DA040006 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI WARDLE, MARGARET · 2016 to 2020
$842k
Identifying Electrophysiological Targets for Transcranial Magnetic Stimulation in Cocaine Use DisorderK01DA058765 · NIDA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Heather E Webber · 2023 to 2026
$740k
NIDA NIH HHS K01 DA058765NIDA NIH HHS K08 DA040006NIDA NIH HHS R01 DA039125NIDA NIH HHS R01 DA048026
6 · The paper itself

Abstract

backgroundFrequency of use - the number of days of use - is the most common metric for quantifying cocaine use and the most common target of treatment. However, frequency may not capture all important aspects of cocaine use. This study examined how other aspects of cocaine use (typical amount spent, variability etc.) relate to life functioning and cocaine use disorder (CUD) treatment outcomes.

methodThis is a secondary analysis of 3 clinical trials for CUD, N = 207 for the life functioning analysis and N = 173 for the outcomes analysis. Eight metrics of use were calculated from baseline 30-Day Timeline Followback (TLFB) data and entered into multiple regression and hierarchical Poisson regression analyses predicting domains of the Addiction Severity Index and treatment outcomes, respectively.

resultsGreater typical dollar amount used (i.e., generally greater amounts of cocaine used per occasion) related to better employment functioning, while better treatment outcomes were associated with: 1) less frequent use, 2) greater typical dollar amount used, 3) more variability in dollar amount, 4) less weekday use, 5) greater variability in days between uses, and 6) a downwards trajectory in frequency of use and upwards trajectory in typical dollar amount over the month leading into treatment.

conclusionsBeyond days of use, other aspects of use also relate to life functioning and treatment outcomes, although these aspects predicted treatment outcomes better than life functioning. Future work should explore whether other aspects of cocaine use are important targets for harm-reduction-focused treatment.

Indexed as

Cocaine-Related DisordersOutcome Assessment, Health CareAdultEmploymentFemaleHumansMaleMiddle AgedSeverity of Illness IndexTreatment OutcomeAmount spentCocaine use disorderFrequency of useLife functioningTreatment outcomesVariability of use

Identifiers

PMID40617507
PMCPMC12997293

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.