Evidence map›Paper›PMID 28460232›Full record

ArticleDrug and alcohol dependence2017

How many or how much? Testing the relative influence of the number of social network risks versus the amount of time exposed to social network risks on post-treatment substance use.

David Eddie, John F Kelly

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Social network moderators of brief alcohol intervention impact.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2022
    Trial
  3. Day-level shifts in social contexts during youth cannabis use treatment.Journal of consulting and clinical psychology · 2021
    Trial
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  7. Do posttreatment increases in social recovery capital mediate the relationship between lower internalizing symptoms and less substance use?Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026
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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

2 authors at 1 institution in 1 country.

David EddieRecovery Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States. Electronic address: deddie@mgh.harvard.edu.
John F KellyRecovery Research Institute, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States.
Harvard University · US

Funding

Mentoring in Patient-Oriented Addiction ResearchK24AA022136 · NIAAA · MASSACHUSETTS GENERAL HOSPITAL · PI KELLY, JOHN F. · 2014 to 2023
$1.8M
MECHANISMS AND MODERATORS OF CHANGE AMONG YOUTH TREATED FOR ALCOHOL USE DISORDERSR21AA018185 · NIAAA · MASSACHUSETTS GENERAL HOSPITAL · PI KELLY, JOHN F. · 2010 to 2011
$481k
Elucidating the role of cognitive and physiological aspects of affect in alcohol use relapseF32AA025251 · NIAAA · MASSACHUSETTS GENERAL HOSPITAL · PI EDDIE, DAVID · 2016 to 2017
$121k
NIAAA NIH HHS F32 AA025251NIAAA NIH HHS K24 AA022136NIAAA NIH HHS R21 AA018185
6 · The paper itself

Abstract

backgroundHaving high-risk, substance-using friends is associated with young adult substance use disorder (SUD) relapse. It is unclear, however, whether it is the total number of high-risk friends, or the amount of time spent with high-risk friends that leads to relapse. Unclear also, is to what extent low-risk friends buffer risk. This study examined the influence of number of high-risk and low-risk friends, and the amount time spent with these friends on post-treatment percent days abstinent (PDA).

methodYoung adult inpatients (N=302) were assessed at intake, and 3, 6, and 12 months on social network measures and PDA. Mixed models tested for effects of number of high- and low-risk friends, and time spent with these friends on PDA, and for net-risk friend effects to test whether low-risk friends offset risk.

resultsWithin and across assessments, number of, and time spent with high-risk friends was negatively associated with PDA, while the inverse was true for low-risk friends. Early post-treatment, time spent with friends more strongly predicted PDA than number of friends. Participants were more deleteriously affected by time with high-risk friends the longer they were out of treatment, while contemporaneously protection conferred by low-risk friends increased. This interaction effect, however, was not observed with number of high- or low-risk friends, or number of friends net-risk.

conclusionsYoung adult SUD patients struggling to break ties with high-risk friends should be encouraged to minimize time with them. Clinicians should also encourage patients to grow their social network of low-risk friends.

Indexed as

Risk-TakingSocial SupportTime FactorsAdultFemaleFriendsHumansMaleSubstance Abuse Treatment CentersSubstance-Related DisordersTreatment OutcomeYoung AdultAddictionEmerging adultsRecoverySocial network riskSubstance useTreatment outcomes

Identifiers

PMID28460232
PMCPMC5504706
OpenAlexW2606023996

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.