Evidence map›Paper›PMID 36320048›Full record

ArticleSubstance abuse treatment, prevention, and policy2022

Relapse to problem drinking or trading up to spirits? Using U.S. national cross-sectional survey data to highlight possible negative impacts of potential tobacco retail changes.

Katherine J Karriker-Jaffe, Lisa Henriksen, Elizabeth A Smith, Patricia A McDaniel, Ruth E Malone, William C Kerr

Open access · goldAbstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 1 country.

Katherine J Karriker-JaffeCenter on Behavioral Health Epidemiology, Implementation & Evaluation Research, RTI International, 2150 Shattuck Avenue, Suite 800, 94704, Berkeley, CA, USA. kkarrikerjaffe@rti.org.ORCID 0000-0002-2019-0222
Lisa HenriksenStanford Prevention Research Center, Department of Medicine, Stanford University School of Medicine, 94305, Stanford, CA, USA.
Elizabeth A SmithDepartment of Social & Behavioral Sciences, School of Nursing, University of California, San Francisco, 94143, San Francisco, CA, USA.
Patricia A McDanielDepartment of Social & Behavioral Sciences, School of Nursing, University of California, San Francisco, 94143, San Francisco, CA, USA.
Ruth E MaloneDepartment of Social & Behavioral Sciences, School of Nursing, University of California, San Francisco, 94143, San Francisco, CA, USA.
William C KerrAlcohol Research Group, Public Health Institute, 94608, Emeryville, CA, USA.
University of California, San Francisco · USPublic Health Institute · USRTI International · USStanford University · US

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI MULIA, NINA · 1985 to 2025
$34.1M
Tobacco retail policy innovation to reduce health disparitiesR01CA229238 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MALONE, RUTH E, MCDANIEL, PATRICIA A · 2019 to 2022
$2.6M
NCI NIH HHS R01 CA229238NIAAA NIH HHS P50 AA005595NIH HHS R01CA229238
6 · The paper itself

Abstract

backgroundAccording to the National Alcohol Beverage Control Association, twelve states in the United States (U.S.) have government retail monopolies on spirits/liquor sales. With a new federal minimum legal sales age for tobacco (raised from 18 to 21, the minimum legal sales age for alcohol), we examine possible unintended consequences of a hypothetical policy change restricting retail tobacco sales to state-run spirits/liquor stores in alcohol control states, which has been proposed as a tobacco endgame strategy.

methodsWe used cross-sectional survey data from 14,821 randomly-selected adults ages 21 and older who responded to the 2015 or 2020 U.S. National Alcohol Survey (51.8% female; 65.8% identified as non-Hispanic White, 12.4% as Black or African American, 14.2% as Hispanic or Latinx; 34.0% had a low level of education), including 2,274 respondents (18.9%) residing in one of the alcohol control states (representing 42.2 million (M) adults ages 21+). We estimated associations between tobacco measures (lifetime smoking status, lifetime daily smoking, past-year daily smoking) and alcohol measures (drinking status, beverage choices, lifetime alcohol use disorder (AUD) status, recovery status) overall and for specific subgroups.

resultsIn control states, 55.1% of people who smoked daily in the past year also reported lifetime AUD, including an estimated 3.56 M adults ages 21 + who reported prior (but not current) AUD. The association of daily smoking with lifetime AUD was stronger among those with low education compared to those with higher education. Further, 58.8% of people in recovery from an alcohol and/or drug problem (1.49 M adults ages 21+) smoked daily, and this was more marked among women than men in control states.

conclusionThere could be negative consequences of an endgame strategy to restructure tobacco retail sales, including increased risk for relapse to drinking among people who smoke daily, especially among women and people with low levels of education. Strategies to mitigate unintended harms would be needed if such a policy were implemented.

Indexed as

AlcoholismAdultAlcohol DrinkingAlcoholic BeveragesCross-Sectional StudiesFemaleHumansMaleNicotianaRecurrenceUnited StatesYoung AdultAlcohol use disorderGovernment monopoly systemsRetail sales restrictionsTobacco

Identifiers

PMID36320048
PMCPMC9623940
OpenAlexW4307780822

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.