Evidence map›Paper›PMID 33044528›Full record

ReviewTranslational behavioral medicine2020

Harmful smartphone applications promoting alcohol and illicit substance use: a review and content analysis in the United States.

Shouron Ghassemlou, Christina Marini, Chemi Chemi, Yerina S Ranjit, Babak Tofighi

Open access · greenAbstract readReview
In one paragraph

Review in Translational behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 23 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 2 institutions in 1 country.

Shouron GhassemlouMedical College of Georgia, AU/UGA Medical Partnership, Athens, GA.
Christina MariniDepartment of Population Health, New York University School of Medicine, New York, NY.
Chemi ChemiDepartment of Population Health, New York University School of Medicine, New York, NY.
Yerina S RanjitDepartment of Internal Medicine, AIDS Program, Yale University School of Medicine, New Haven, CT.
Babak TofighiDepartment of Population Health, New York University School of Medicine, New York, NY.
New York University · USYale University · US

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Substance Abuse Research Education and Training (SARET).R25DA022461 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSHUA D LEE · 2007 to 2026
$6.5M
Development of a text messaging tool to support buprenorphine treatment in primary careK23DA042140 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TOFIGHI, BABAK · 2017 to 2021
$969k
NCATS NIH HHS UL1 TR001445NCATS NIH HHS UL1 TR001863NIDA NIH HHS K23 DA042140NIDA NIH HHS R25 DA022461
6 · The paper itself

Abstract

Few studies have conducted analysis of commercially available smartphone applications designed to promote alcohol and illicit substance use. The aim of this review is to determine harmful themes of content in applications promoting alcohol and illicit substance use found using recovery app search terms. A systematic search, via Apple iTunes and Google Play stores, was conducted of applications targeting abstinence or reduced substance use in online app stores (n = 1,074 apps) in March 2018. We conducted a secondary analysis of apps encouraging alcohol and illicit substance use in July 2018. Our initial search yielded 904 apps pertaining to alcohol and illicit substance use. Four reviewers conducted a content analysis of 102 apps meeting inclusion criteria and assessed app design, delivery features, text, and multimedia content pertaining to substance use. The initial coding scheme was refined using a data-driven, iterative method grouping in thematic categories. The number of apps coded to a specific substance include: alcohol (n = 74), methamphetamine (n =13), cocaine (n = 15), heroin (n = 12), and marijuana (n = 15), with nine apps overlapping more than one substance. Key themes identified among apps included: (i) tangibility (alcohol home delivery services); (ii) social networks (builtin social media platforms promoting substance use); (iii) software design (gamification or simulation of substance use); and (iv) aesthetics (sexual or violent imagery). Despite claims of restricting apps promoting substance use, further efforts are needed by online app stores to reduce the availability of harmful content.

Indexed as

Alcohol DrinkingMobile ApplicationsSmartphoneHarm ReductionHumansSubstance-Related DisordersUnited StatesAlcoholHarmfulIllicit substance useSmartphone applications

Identifiers

PMID33044528
PMCPMC7899440
OpenAlexW3092189663

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.