Evidence map›Paper›PMID 38738809›Full record

ArticleSubstance use & misuse2024

Visualizing the Influence of Social Networks on Recovery: A Mixed-Methods Social Identity Mapping Study with Recovering Adolescents.

Emily A Hennessy, Jordan Jurinsky, Kiefer Cowie, Agata Z Pietrzak, Sophia Blyth, Paige Krasnoff, David Best, Mark Litt, Blair T Johnson, John F Kelly

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Substance use & misuse, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07474207 (Social Identity Mapping for Adolescent Recovery), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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.

NCT07474207 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Social Identity Mapping for Adolescent Recovery

TypeinterventionalSponsorMassachusetts General HospitalRan2026 to 2028Enrolled60ConditionsAlcohol Use Disorder (AUD)ArmsSIM-AiR
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

10 authors.

Emily A HennessyRecovery Research Institute, Center for Addiction Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-5146-5823
Jordan JurinskyDepartment of Human and Organizational Development, Vanderbilt University, Nashville, Tennessee, USA.
Kiefer CowieThe Wright Institute, Berkeley, California, USA.
Agata Z PietrzakRecovery Research Institute, Center for Addiction Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Sophia BlythHarvard University, Cambridge, Massachusetts, USA.
Paige KrasnoffBoston College, Boston, Massachusetts, USA.
David BestLeeds Trinity University, Leeds, UK.
Mark LittDivision of Behavioral Sciences and Community Health, University of Connecticut School of Dental Medicine, Farmington, Connecticut, USA.
Blair T JohnsonDepartment of Psychological Sciences, University of Connecticut, Storrs, Connecticut, USA.
John F KellyRecovery Research Institute, Center for Addiction Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.

Funding

Mechanisms of social identity, social networks, and recovery capital: Implicationsfor recoveryK01AA028536 · NIAAA · UNIVERSITY OF CONNECTICUT STORRS · PI HENNESSY, EMILY A · 2020 to 2024
$895k
NIAAA NIH HHS K01 AA028536
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Social NetworkingSubstance-Related DisordersAdolescentFemaleHumansMaleSocial IdentificationSocial SupportYoung AdultAddictionadolescentrecovery capitalsocial capitalsocial network

Identifiers

PMID38738809
PMCPMC11191070

What OpenQuestion holds

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Registered trials

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.