Evidence map›Paper›PMID 30522075›Full record

ArticleAddictive behaviors2019

Tobacco and cannabis co-use and interrelatedness among adults.

Saima A Akbar, Rachel L Tomko, Claudia A Salazar, Lindsay M Squeglia, Erin A McClure

Abstract read
In one paragraph

Article in Addictive behaviors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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.

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

44 citing papers in PubMed.

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  20. Dual-Vaping of Nicotine and Cannabis Among Adults Who Currently Use Tobacco Products in Five New England States.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    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

5 authors.

Saima A AkbarMedical University of South Carolina, Department of Psychiatry and Behavioral Sciences, Charleston, SC, USA. Electronic address: saima.akbar@fiu.edu.
Rachel L TomkoMedical University of South Carolina, Department of Psychiatry and Behavioral Sciences, Charleston, SC, USA.
Claudia A SalazarMedical University of South Carolina, Department of Psychiatry and Behavioral Sciences, Charleston, SC, USA.
Lindsay M SquegliaMedical University of South Carolina, Department of Psychiatry and Behavioral Sciences, Charleston, SC, USA.
Erin A McClureMedical University of South Carolina, Department of Psychiatry and Behavioral Sciences, Charleston, SC, USA.

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Southern Consortium Node of the Clinical Trials Network (Varenicline)UG1DA013727 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KATHLEEN T. BRADY, Kelly S. Barth · 2015 to 2026
$24.8M
A Randomized Controlled Trial of Varenicline for Adolescent Smoking CessationU01DA031779 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GRAY, KEVIN M · 2012 to 2016
$3.3M
N-Acetylcysteine and Contingency Management for Youth Cannabis Use DisorderR01DA042114 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GRAY, KEVIN M · 2017 to 2021
$3.1M
Neuroscience-informed Treatment Development for Adolescent Alcohol Use DisordersK23AA025399 · NIAAA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI SQUEGLIA, LINDSAY · 2016 to 2020
$1.0M
Technological Innovations for the Remote Monitoring of Smoking in AdolescentsK01DA036739 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCCLURE, ERIN A · 2014 to 2018
$771k
NCATS NIH HHS UL1 TR001450NIAAA NIH HHS K23 AA025399NIDA NIH HHS K01 DA036739NIDA NIH HHS R01 DA042114NIDA NIH HHS U01 DA031779NIDA NIH HHS UG1 DA013727
6 · The paper itself

Abstract

Cannabis and tobacco co-use is prevalent, but consensus regarding the reasons for co-use among adults and the degree of interrelatedness between these substances is lacking. Reasons for co-use have been explored with younger users, but little data exists for more experienced users with entrenched patterns of co-use. The goal of this study was to examine characteristics and patterns of cannabis-tobacco co-use among adults in the Southeastern United States (US), where there is a legal landscape of generally restrictive cannabis legislation coupled with more permissive tobacco control compared to other US regions. Participants (N = 432) were regular cannabis users recruited through Amazon Mechanical Turk. Measures included demographics, patterns of cannabis and tobacco use, and reasons for co-use. Within this sample, 42% were current users of tobacco (n = 182). Cannabis-tobacco co-users were older and had more years of cannabis use than cannabis-only users. Among the co-using sub-sample, there was little consistency in the reasons for co-use, suggesting individual differences in the use of both substances. High levels of cannabis-tobacco interrelatedness (i.e., temporally concurrent use) were associated with smoking more cigarettes (tobacco) per day and greater nicotine dependence scores when compared to users with low levels of interrelatedness. Though these results are limited by a small sample size and generalizability issues, there were individual differences in cannabis-tobacco relatedness, which may be of importance when considering treatment strategies for cannabis, tobacco, or both. With additional research, personalized strategies adapted to cannabis-tobacco relatedness profiles among co-users may be warranted as a treatment strategy.

Indexed as

AdultAge FactorsComorbidityCross-Sectional StudiesFemaleHumansMaleMarijuana UseSoutheastern United StatesSurveys and QuestionnairesTobacco UseCannabisCo-useMarijuanaNicotinePolysubstance useTobacco

Identifiers

PMID30522075
PMCPMC6342479

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.