Evidence map›Paper›PMID 25920801›Full record

Trial reportDrug and alcohol dependence2015

Post-treatment drinking among HIV patients: Relationship to pre-treatment marijuana and cocaine use.

Jennifer C Elliott, Efrat Aharonovich, Deborah S Hasin

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 45% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

3 authors at 2 institutions in 1 country.

Jennifer C ElliottDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA.
Efrat AharonovichDepartment of Psychiatry, Columbia University Medical Center, 180 Ft. Washington Avenue, New York, NY 10032, USA; New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA.
Deborah S HasinDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA; Department of Psychiatry, Columbia University Medical Center, 180 Ft. Washington Avenue, New York, NY 10032, USA; New York State Psychiatric Institute, 1051 Riverside Drive, New York, NY 10032, USA. Electronic address: deborah.hasin@gmail.com.
Columbia University Irving Medical Center · USColumbia University · US

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Reducing Unsafe Drinking in HIV Primary CareR01AA014323 · NIAAA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI HASIN, DEBORAH S · 2005 to 2009
$2.9M
HealthCall: Brief Intervention to Reduce Drug Use in HIV Primary CareR01DA024606 · NIDA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI AHARONOVICH, EFRAT · 2010 to 2014
$2.9M
Epidemiologic Studies of Alcohol Use Disorders (ongoing)K05AA014223 · NIAAA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HASIN, DEBORAH S · 2003 to 2012
$1.5M
NIAAA NIH HHS K05 AA014223NIAAA NIH HHS K05AA014223NIAAA NIH HHS R01 AA014323NIAAA NIH HHS R01AA014323NIDA NIH HHS R01 DA024606NIDA NIH HHS R01DA024606NIDA NIH HHS T32 DA031099NIDA NIH HHS T32DA031099
6 · The paper itself

Abstract

backgroundFor individuals with HIV, heavy drinking can pose serious threats to health. Some interventions are effective at reducing drinking in this population, but many HIV-infected heavy drinkers also use marijuana or cocaine. Although these drugs have predicted poor alcohol outcomes in other treatment studies, whether this occurs among HIV patients who drink heavily is unknown.

methodsParticipants were binge-drinking HIV primary care patients (N=254) enrolled in a randomized trial of three brief drinking interventions over 60 days that varied in intensity. We investigated the relationship of baseline past-year drug use (marijuana-only, cocaine-only, both, neither) to end-of-treatment drinking quantity and frequency. We also evaluated whether the relationship between intervention type and end-of-treatment drinking varied by baseline drug use. Final models incorporated control for patients' demographic and HIV characteristics.

resultsIn final models, drinking frequency at the end of treatment did not vary by baseline drug use, but drinking quantity did (X(2)[3] = 13.87, p < 0.01), with individuals using cocaine-only drinking significantly more per occasion (B = 0.32, p < 0.01). Baseline drug use also interacted with intervention condition in predicting end-of-treatment drinking quantity (X(2)[6] = 13.98, p < 0.05), but not frequency, with the largest discrepancies in end-of-treatment drinks per drinking day by intervention intensity among cocaine-only patients.

conclusionsIn general, HIV patients using cocaine evidenced the highest levels of drinking after alcohol intervention. However, these individuals also evidenced the most pronounced differences in end-of-treatment drinking by intervention intensity. These results suggest the importance of more intensive intervention for individuals using alcohol and cocaine.

Indexed as

AdultBinge DrinkingCocaine-Related DisordersFemaleHIV InfectionsHumansMaleMarijuana AbuseMiddle AgedMotivational InterviewingNew York CityAlcoholBrief interventionCocaineDrinkingHIVMarijuana

Identifiers

PMID25920801
PMCPMC5030768
OpenAlexW2042439500

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.