Evidence map›Paper›PMID 30252519›Full record

Trial reportAmerican journal of public health2018

Culturally Adapted, Web-Based Cognitive Behavioral Therapy for Spanish-Speaking Individuals With Substance Use Disorders: A Randomized Clinical Trial.

Manuel Paris, Michelle Silva, Luis Añez-Nava, Yudilyn Jaramillo, Brian D Kiluk, Melissa A Gordon, Charla Nich, Tami Frankforter, Kathleen Devore, Samuel A Ball and 1 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
2.9field-weighted citation impact, top 9% 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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  15. Health disparities in cirrhosis care and liver transplantation.Nature reviews. Gastroenterology & hepatology · 2025
    Review
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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

11 authors at 1 institution in 1 country.

Manuel ParisAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Michelle SilvaAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Luis Añez-NavaAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Yudilyn JaramilloAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Brian D KilukAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Melissa A GordonAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Charla NichAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Tami FrankforterAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Kathleen DevoreAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Samuel A BallAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Kathleen M CarrollAll authors are with the Department of Psychiatry, Yale University School of Medicine, New Haven, CT.
Yale University · US

Funding

TSF to enhance treatment of cocaine dependenceP50DA009241 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 1994 to 2018
$40.5M
The National Drug Abuse Treatment Clinical Trials Network (U10)U10DA015831 · NIDA · MC LEAN HOSPITAL (BELMONT, MA) · PI CARROLL, KATHLEEN M., WEISS, ROGER D. · 2002 to 2015
$28.8M
Computer-Based Training in Cognitve Behavioral TherapyR01DA015969 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 2002 to 2015
$2.8M
Computer Based Training in CBT for Spanish-Speaking Substance Users: Competitive RevisionR01DA030369 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M., PARIS, MANUEL · 2012 to 2017
$2.6M
Computer-Based Training in Cognitve Behavioral TherapyR37DA015969 · NIDA · YALE UNIVERSITY · PI CARROLL, KATHLEEN M. · 2003 to 2009
$2.6M
NIDA NIH HHS P50 DA009241NIDA NIH HHS R01 DA015969NIDA NIH HHS R01 DA030369NIDA NIH HHS R37 DA015969NIDA NIH HHS U10 DA015831
6 · The paper itself

Abstract

objectivesTo evaluate whether adding Web-based cognitive behavioral treatment (CBT) to standard outpatient psychiatric or addiction treatment improved substance use outcomes.

methodsWe conducted a randomized clinical trial in New Haven, Connecticut, between 2014 and 2017 comparing 8 weeks of standard outpatient treatment to the same treatment with access to a culturally adapted version of Web-based CBT with a 6-month follow-up. Participants were 92 treatment-seeking individuals with Spanish as their primary language and current substance use disorder, with few other restrictions.

resultsTreatment completion and data availability were high (98% of the randomized sample). For the primary outcome (change in frequency of primary substance used), there was a significant effect of treatment condition by time (t

conclusionsAdding a culturally adapted version of Web-based CBT to standard treatment improved substance use outcomes. Public Health Implications. This approach has high potential to address health disparities by providing an easily accessible, inexpensive form of evidence-based treatment to a range of Latinos with substance use disorders.

Indexed as

Cognitive Behavioral TherapyInternetAdultConnecticutCulturally Competent CareFemaleHispanic or LatinoHumansMaleSubstance-Related DisordersTreatment Outcome

Identifiers

PMID30252519
PMCPMC6187780
OpenAlexW2893356126

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.