Literature DB >> 34291993

Effect of brief nicotine corrective messaging on nicotine beliefs in persons who use opioids.

Maria A Parker1, Jodi E Byers2, Andrea C Villanti3.   

Abstract

This pilot study tested the effect of a brief nicotine education messaging exposure on beliefs about nicotine, nicotine-replacement therapy (NRT), and e-cigarettes. Participants ages 18 and older were recruited via Amazon Mechanical Turk to complete a 20-min online survey in April/May 2020 to assess relationships between opioid use, smoking, and other behaviors. Participants with past-month extra-medical opioid use completed questions on background characteristics and literacy and then were randomized in a 2:1 ratio of two conditions: nicotine education (n = 362) or no message control (n = 181). Beliefs about nicotine, NRT, and e-cigarettes were asked of all participants; this occurred after message exposure for the nicotine education condition. Bivariate and multivariable analyses examined differences in beliefs by study condition. Brief nicotine messaging increased the probability of a correct response to "Nicotine is a cause of cancer" (false, 63% vs. 36%) and reduced the probability of a don't know response (9% vs. 17%) compared to the no message control condition. Nicotine education also reduced false beliefs about harms of long-term NRT use compared to cigarettes (p < .05). In adjusted models, participants in the nicotine education group had lower mean false beliefs about nicotine (p < .001) and to a lesser extent NRT (p = .053) compared with the control group; there was no difference in mean false beliefs about e-cigarettes (p = .547) between groups. A brief education intervention produced similar changes in nicotine beliefs in adults with past-month extra-medical opioid use as in a general adult sample. Findings support the potential for impact of nicotine public education messaging in vulnerable populations. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Entities:  

Year:  2021        PMID: 34291993      PMCID: PMC8782917          DOI: 10.1037/pha0000497

Source DB:  PubMed          Journal:  Exp Clin Psychopharmacol        ISSN: 1064-1297            Impact factor:   3.157


  47 in total

1.  Stop-smoking medications: who uses them, who misuses them, and who is misinformed about them?

Authors:  Maansi A Bansal; K Michael Cummings; Andrew Hyland; Gary A Giovino
Journal:  Nicotine Tob Res       Date:  2004-12       Impact factor: 4.244

Review 2.  Are Pharmacotherapies Ineffective in Opioid-Dependent Smokers? Reflections on the Scientific Literature and Future Directions.

Authors:  Mollie E Miller; Stacey C Sigmon
Journal:  Nicotine Tob Res       Date:  2015-08       Impact factor: 4.244

3.  Arsenic, metals, fibres, and dusts.

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Journal:  IARC Monogr Eval Carcinog Risks Hum       Date:  2012

Review 4.  Achieving Smoking Cessation Among Persons with Opioid Use Disorder.

Authors:  Cynthia Vlad; Julia H Arnsten; Shadi Nahvi
Journal:  CNS Drugs       Date:  2020-04       Impact factor: 5.749

5.  Reduced Nicotine Content Cigarettes and Cannabis Use in Vulnerable Populations.

Authors:  Maria A Parker; Joanna M Streck; Cecilia L Bergeria; Janice Y Bunn; Diann E Gaalema; Danielle R Davis; Anthony J Barrows; Stacey C Sigmon; Jennifer W Tidey; Sarah H Heil; Stephen T Higgins
Journal:  Tob Regul Sci       Date:  2018-09

6.  Comparison of Direct and Indirect Measures of E-cigarette Risk Perceptions.

Authors:  Olivia A Wackowski; Michelle T Bover Manderski; Cristine D Delnevo
Journal:  Tob Regul Sci       Date:  2016-01-01

7.  Mechanisms and Clinical Features of Co-occurring Opioid and Nicotine Use.

Authors:  Sarah D Lichenstein; Yasmin Zakiniaeiz; Sarah W Yip; Kathleen A Garrison
Journal:  Curr Addict Rep       Date:  2019-04-27

8.  Impact of Brief Nicotine Messaging on Nicotine-Related Beliefs in a U.S. Sample.

Authors:  Andrea C Villanti; Julia C West; Darren Mays; Eric C Donny; Joseph N Cappella; Andrew A Strasser
Journal:  Am J Prev Med       Date:  2019-10       Impact factor: 5.043

Review 9.  Smoking Cessation Among Methadone-Maintained Patients: A Meta-Analysis.

Authors:  Anne Yee; Moey Chee Hoong; Yong Chen Joyce; Huai Seng Loh
Journal:  Subst Use Misuse       Date:  2017-08-31       Impact factor: 2.164

10.  Leveraging crowdsourcing methods to collect qualitative data in addiction science: Narratives of non-medical prescription opioid, heroin, and fentanyl use.

Authors:  Justin C Strickland; Grant A Victor
Journal:  Int J Drug Policy       Date:  2019-11-18
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