Evidence map›Paper›PMID 31495380›Full record

ArticleJournal of studies on alcohol and drugs2019

Patterns of Cocaine Use During Treatment: Associations With Baseline Characteristics and Follow-Up Functioning.

Corey R Roos, Charla Nich, Chung Jung Mun, Justin Mendonca, Theresa A Babuscio, Katie Witkiewitz, Kathleen M Carroll, Brian D Kiluk

Abstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Corey R RoosYale University School of Medicine, New Haven, Connecticut.
Charla NichYale University School of Medicine, New Haven, Connecticut.
Chung Jung MunJohn Hopkins University School of Medicine, Baltimore, Maryland.
Justin MendoncaYale University School of Medicine, New Haven, Connecticut.
Theresa A BabuscioYale University School of Medicine, New Haven, Connecticut.
Katie WitkiewitzDepartment of Psychology, University of New Mexico, Albuquerque, New Mexico.
Kathleen M CarrollYale University School of Medicine, New Haven, Connecticut.
Brian D KilukYale University School of Medicine, New Haven, Connecticut.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
TSF to enhance treatment of cocaine dependenceP50DA009241 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1994 to 2018
$40.5M
Research Training Fellowship in Substance use and Addiction (RTFSA)T32DA007238 · NIDA · YALE UNIVERSITY · PI BRIAN D. KILUK, ISMENE L. PETRAKIS · 1988 to 2026
$5.7M
Precision Medicine and Recovery in a Telehealth Treatment Program for Alcohol Use DisorderR01AA022328 · NIAAA · UNIVERSITY OF NEW MEXICO · PI Katie A Witkiewitz · 2013 to 2026
$3.1M
Identification of a Meaningful Cocaine Use Outcome MeasureR33DA041661 · NIDA · YALE UNIVERSITY · PI KILUK, BRIAN D. · 2018 to 2020
$1.1M
Identification of a Meaningful Cocaine Use Outcome MeasureR21DA041661 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M., KILUK, BRIAN D. · 2016 to 2017
$456k
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS R01 AA022328NIDA NIH HHS P50 DA009241NIDA NIH HHS R21 DA041661NIDA NIH HHS R33 DA041661NIDA NIH HHS T32 DA007238
6 · The paper itself

Abstract

objectiveAbstinence outcomes are typically prioritized in the treatment of cocaine use disorder while ignoring patterns of low-frequency cocaine use. This study examined patterns of cocaine use frequency during treatment and evaluated how these patterns related to baseline characteristics and functioning outcomes 6 and 12 months after treatment.

methodWe used a pooled dataset (N = 720) from seven randomized clinical trials for cocaine use disorder. The Addiction Severity Index (ASI) was used to assess functioning. Repeated-measures latent class analysis was used to derive patterns of cocaine use.

resultsThree patterns were identified: abstinence (10.6%), low-frequency use (approximately 1 day/week; 66.3%), and persistent frequent use (approximately 4 days/week; 23.1%). The low-frequency group was associated with male gender, younger age, and a criminal justice referral. The abstinent group had the highest alcohol problem severity score at baseline. At Month 6, the low-frequency group reported lower problem severity than the persistent frequent use group across multiple ASI areas, including the cocaine use as well as psychological, family, employment, and legal domains. At Month 12, the low-frequency group did not differ from the abstinent group in problem severity on any ASI domain and, relative to the persistent frequent use group, had lower cocaine use and employment problem severity.

conclusionsThese findings highlight the importance of adopting a harm reduction approach and recognizing the potential clinical benefits associated with nonabstinent outcomes.

Indexed as

AdultCocaineCocaine-Related DisordersFemaleFollow-Up StudiesHumansMaleRandomized Controlled Trials as TopicSelf MedicationTreatment OutcomeYoung AdultCocaine

Identifiers

PMID31495380
PMCPMC6739643

What OpenQuestion holds

Textmetadata
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.