Evidence map›Paper›PMID 36215912›Full record

ArticleJournal of substance abuse treatment2022

Substance use and criminogenic thinking: Longitudinal latent class analysis of veterans with criminal histories.

Christine Timko, Noel Vest, Michael A Cucciare, David Smelson, Daniel Blonigen

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Christine TimkoCenter for Innovation to Implementation, Department of Veterans Affairs Health Care System, Palo Alto, CA 94304, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: ctimko@stanford.edu.
Noel VestDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Michael A CucciareDepartment of Psychiatry, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; Center for Mental Healthcare and Outcomes Research, Central Arkansas Veterans Affairs Healthcare System, North Little Rock, AR 72205, USA; Veterans Affairs South Central Mental Illness Research, Education and Clinical Center, Central Arkansas Veterans Healthcare System, North Little Rock, AR 72205, USA.
David SmelsonHSR&D Center for Health Care Organization and Implementation Research, Bedford VA Medical Center, Bedford, MA 01730, USA; University of Massachusetts Chan Medical School, Worcester, MA 01655,. USA.
Daniel BlonigenCenter for Innovation to Implementation, Department of Veterans Affairs Health Care System, Palo Alto, CA 94304, USA; Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA.
Stanford University · US

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Collegiate recovery programming in the U.S.: An implementation science and mixed methods studyK01DA053391 · NIDA · STANFORD UNIVERSITY · PI Noel Adam Vest · 2022 to 2026
$882k
HSRD VA I01 HX001570HSRD VA IK6 HX003763NIDA NIH HHS K01 DA053391NIDA NIH HHS L30 DA056944NIDA NIH HHS T32 DA035165
6 · The paper itself

Abstract

introductionThe objective of this study was to inform clinical practice by identifying distinct subgroups of US veterans with criminal histories in residential mental health treatment. The study characterized veteran patients on their alcohol and drug use and criminogenic thinking. We also examined predictors and outcomes of subgroup membership.

methodsParticipants were 341 veterans with a criminal history in residential mental health care. A parallel latent growth trajectory model characterized participants' alcohol and drug use and criminogenic thinking at treatment entry and at 6- and 12-month follow-ups.

resultsThe study identified four distinct classes: 53 % Normative Improvement, 27 % High Criminogenic Thinking, 11 % High Recurrence (of substance use), and 9 % High Drug Use. Compared to the Normative Improvement class, prior to treatment entry, patients in the High Recurrence class were less likely to be on parole or probation, and patients in the High Criminogenic Thinking class were more likely to be chronically homeless. Compared to the Normative Improvement class, at follow-ups, patients in the High Drug Use and High Criminogenic Thinking classes were more likely to recidivate, and patients in the High Drug Use class were more likely to report unstable housing. Depression scores were higher (nearly double) in the High Drug Use, High Recurrence, and High Criminogenic Thinking classes at follow-ups compared to the Normative Improvement class.

conclusionsThat the Normative Improvement class entered mental health residential treatment with relatively low alcohol and drug use and criminogenic thinking, and sustained these low levels, suggests that treatment does not need to be broadened or intensified to improve these domains for these patients with criminal histories. In contrast, findings for the High Drug Use, High Recurrence, and High Criminogenic Thinking classes, which composed 47 % of the sample, suggest that more integrated and sustained treatment may be needed to reduce recidivism, depression, and homelessness among these patients.

Indexed as

CriminalsRecidivismSubstance-Related DisordersVeteransHumansLatent Class AnalysisAlcohol useCriminogenic thinkingDrug useTreatment outcomesVeterans

Identifiers

PMID36215912
PMCPMC9940453
OpenAlexW4298396092

What OpenQuestion holds

Textmetadata
LicenceTDM
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.