Literature DB >> 22459798

Dependence on tobacco and nicotine products: a case for product-specific assessment.

Karl Fagerström1, Thomas Eissenberg.   

Abstract

The International Classification of Diseases and the Diagnostic and Statistical Manual for diagnosing tobacco/nicotine dependence emphasize the dependence-producing drug nicotine. These diagnostic tools have been challenged on grounds of poor predictive validity, and they do not differentiate across various forms of nicotine-containing products. In fact, nicotine-containing products (e.g., tobacco cigarettes, smokeless tobacco [ST], waterpipe, electronic cigarettes [ECIGs], and nicotine replacement [NR] products) have very different characteristics both in terms of sensory and behavioral involvement and also in pharmacokinetic and pharmacodynamic effects. For example, a cigarette and a nicotine patch are very different on almost every one of these dimensions. When ability to stop using a nicotine/tobacco product is used as a criterion for dependence, success rates vary considerably across products: Tobacco cigarette cessation is more difficult than ST cessation that in turn is more difficult than NR product cessation. Based on these results, we hypothesize that there is a continuum of dependence as much as there is a continuum of harm, with tobacco cigarettes and NR products on opposite ends of both continua and other products (waterpipe and ECIGs) somewhere in between. In order to capture more precisely the dependence produced by both nicotine and its administration forms, product-specific instruments may be required. The pros and cons of this approach are discussed.

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Year:  2012        PMID: 22459798      PMCID: PMC3611984          DOI: 10.1093/ntr/nts007

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  72 in total

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2.  Waterpipe use predicts progression to regular cigarette smoking among Danish youth.

Authors:  Poul Dengsoe Jensen; Rikke Cortes; Gerda Engholm; Stef Kremers; Mette Gislum
Journal:  Subst Use Misuse       Date:  2010-06       Impact factor: 2.164

3.  Symptoms of nicotine dependence in a cohort of Swedish youths: a comparison between smokers, smokeless tobacco users and dual tobacco users.

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Journal:  Addiction       Date:  2010-02-09       Impact factor: 6.526

4.  Tobacco use and cessation counseling among health professional students: Lebanon Global Health Professions Student Survey.

Authors:  Georges Saade; Charles W Warren; Nathan R Jones; Ali Mokdad
Journal:  J Med Liban       Date:  2009 Oct-Dec

5.  micro-Opioid receptor endocytosis prevents adaptations in ventral tegmental area GABA transmission induced during naloxone-precipitated morphine withdrawal.

Authors:  Anuradha Madhavan; Li He; Garret D Stuber; Antonello Bonci; Jennifer L Whistler
Journal:  J Neurosci       Date:  2010-03-03       Impact factor: 6.167

6.  Effect of an electronic nicotine delivery device (e cigarette) on desire to smoke and withdrawal, user preferences and nicotine delivery: randomised cross-over trial.

Authors:  C Bullen; H McRobbie; S Thornley; M Glover; R Lin; M Laugesen
Journal:  Tob Control       Date:  2010-04       Impact factor: 7.552

7.  Waterpipe and cigarette smoking among college athletes in the United States.

Authors:  Brian A Primack; Carl I Fertman; Kristen R Rice; Anna M Adachi-Mejia; Michael J Fine
Journal:  J Adolesc Health       Date:  2009-07-08       Impact factor: 5.012

8.  Waterpipe tobacco and cigarette smoking: direct comparison of toxicant exposure.

Authors:  Thomas Eissenberg; Alan Shihadeh
Journal:  Am J Prev Med       Date:  2009-12       Impact factor: 5.043

9.  Water pipe tobacco smoking among middle and high school students.

Authors:  Tracey E Barnett; Barbara A Curbow; Jamie R Weitz; Tammie M Johnson; Stephanie Y Smith-Simone
Journal:  Am J Public Health       Date:  2009-09-17       Impact factor: 9.308

10.  The effects of nicotine, denicotinized tobacco, and nicotine-containing tobacco on cigarette craving, withdrawal, and self-administration in male and female smokers.

Authors:  Sean P Barrett
Journal:  Behav Pharmacol       Date:  2010-03       Impact factor: 2.293

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  42 in total

1.  Are e-cigarettes a gateway to smoking or a pathway to quitting?

Authors:  F Alawsi; R Nour; S Prabhu
Journal:  Br Dent J       Date:  2015-08-14       Impact factor: 1.626

2.  E-cigarette- specific symptoms of nicotine dependence among Texas adolescents.

Authors:  Kathleen R Case; Dale S Mantey; MeLisa R Creamer; Melissa B Harrell; Steven H Kelder; Cheryl L Perry
Journal:  Addict Behav       Date:  2018-03-30       Impact factor: 3.913

3.  Development of a questionnaire for assessing dependence on electronic cigarettes among a large sample of ex-smoking E-cigarette users.

Authors:  Jonathan Foulds; Susan Veldheer; Jessica Yingst; Shari Hrabovsky; Stephen J Wilson; Travis T Nichols; Thomas Eissenberg
Journal:  Nicotine Tob Res       Date:  2014-10-19       Impact factor: 4.244

4.  "Electronic Cigarettes" Are Not Cigarettes, and Why That Matters.

Authors:  Matthew Olonoff; Raymond Niaura; Brian Hitsman
Journal:  Nicotine Tob Res       Date:  2019-09-19       Impact factor: 4.244

5.  Acute effects of snus in never-tobacco users: a pilot study.

Authors:  Jenny E Ozga; Nicholas J Felicione; Daniel Elswick; Melissa D Blank
Journal:  Am J Drug Alcohol Abuse       Date:  2016-12-08       Impact factor: 3.829

6.  Comparison of puff topography, toxicant exposure, and subjective effects in low- and high-frequency waterpipe users: a double-blind, placebo-control study.

Authors:  Caroline O Cobb; Melissa D Blank; Alejandra Morlett; Alan Shihadeh; Ezzat Jaroudi; Nareg Karaoghlanian; Barbara Kilgalen; Janet Austin; Michael F Weaver; Thomas Eissenberg
Journal:  Nicotine Tob Res       Date:  2014-09-25       Impact factor: 4.244

7.  Dual tobacco user subtypes in the U.S. Air Force: dependence, attitudes, and other correlates of use.

Authors:  Yoseph Kram; Robert C Klesges; Jon O Ebbert; Wayne Talcott; Torsten B Neilands; Pamela M Ling
Journal:  Nicotine Tob Res       Date:  2014-04-10       Impact factor: 4.244

8.  "I cannot live without my vape": Electronic cigarette user-identified indicators of vaping dependence.

Authors:  Eric K Soule; Joseph G L Lee; Kathleen L Egan; Kendall M Bode; Abigail C Desrosiers; Mignonne C Guy; Alison Breland; Pebbles Fagan
Journal:  Drug Alcohol Depend       Date:  2020-02-05       Impact factor: 4.492

9.  Patterns of youth tobacco and polytobacco usage: The shift to alternative tobacco products.

Authors:  Paul T Harrell; Syeda Mahrukh Hussnain Naqvi; Andrew D Plunk; Ming Ji; Silvia S Martins
Journal:  Am J Drug Alcohol Abuse       Date:  2016-09-26       Impact factor: 3.829

10.  CO exposure and puff topography are associated with Lebanese waterpipe dependence scale score.

Authors:  Karem H Alzoubi; Omar F Khabour; Mohammed Azab; Dana M Shqair; Alan Shihadeh; Brian Primack; Thomas Eissenberg
Journal:  Nicotine Tob Res       Date:  2013-04-24       Impact factor: 4.244

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