Literature DB >> 30193275

Effect of Immediate vs Gradual Reduction in Nicotine Content of Cigarettes on Biomarkers of Smoke Exposure: A Randomized Clinical Trial.

Dorothy K Hatsukami1, Xianghua Luo1, Joni A Jensen1, Mustafa al'Absi2, Sharon S Allen3, Steven G Carmella1, Menglan Chen1, Paul M Cinciripini4, Rachel Denlinger-Apte5, David J Drobes6, Joseph S Koopmeiners1, Tonya Lane1, Chap T Le1, Scott Leischow7, Kai Luo1, F Joseph McClernon8, Sharon E Murphy1, Viviana Paiano1, Jason D Robinson4, Herbert Severson9, Christopher Sipe1, Andrew A Strasser10, Lori G Strayer1, Mei Kuen Tang1, Ryan Vandrey11, Stephen S Hecht1, Neal L Benowitz12, Eric C Donny13.   

Abstract

Importance: The optimal temporal approach for reducing nicotine to minimally or nonaddictive levels in all cigarettes sold in the United States has not been determined.
Objectives: To determine the effects of immediate vs gradual reduction in nicotine content to very low levels and as compared with usual nicotine level cigarettes on biomarkers of toxicant exposure. Design, Setting, and Participants: A double-blind, randomized, parallel-design study with 2 weeks of baseline smoking and 20 weeks of intervention was conducted at 10 US sites. A volunteer sample of daily smokers with no intention to quit within 30 days was recruited between July 2014 and September 2016, with the last follow-up completed in March 2017. Interventions: (1) Immediate reduction to 0.4 mg of nicotine per gram of tobacco cigarettes; (2) gradual reduction from 15.5 mg to 0.4 mg of nicotine per gram of tobacco cigarettes with 5 monthly dose changes; or (3) maintenance on 15.5 mg of nicotine per gram of tobacco cigarettes. Main Outcomes and Measures: Between-group differences in 3 co-primary biomarkers of smoke toxicant exposure: breath carbon monoxide (CO), urine 3-hydroxypropylmercapturic acid (3-HPMA, metabolite of acrolein), and urine phenanthrene tetraol (PheT, indicator of polycyclic aromatic hydrocarbons) calculated as area under the concentration-time curve over the 20 weeks of intervention.
Results: Among 1250 randomized participants (mean age, 45 years; 549 women [44%]; 958 [77%] completed the trial), significantly lower levels of exposure were observed in the immediate vs gradual reduction group for CO (mean difference, -4.06 parts per million [ppm] [95% CI, -4.89 to -3.23]; P < .0055), 3-HPMA (ratio of geometric means, 0.83 [95% CI, 0.77 to 0.88]; P < .0055), and PheT (ratio of geometric means, 0.88 [95% CI, 0.83 to 0.93]; P < .0055). Significantly lower levels of exposure were observed in the immediate reduction vs control group for CO (mean difference, -3.38 [95% CI, -4.40 to -2.36]; P < .0055), 3-HPMA (ratio of geometric means, 0.81 [95% CI, 0.75 to 0.88]; P < .0055), and PheT (ratio of geometric means, 0.86 [95% CI, 0.81 to 0.92]; P < .0055). No significant differences were observed between the gradual reduction vs control groups for CO (mean difference, 0.68 [95% CI, -0.31 to 1.67]; P = .18), 3-HPMA (ratio of geometric means, 0.98 [95% CI, 0.91 to 1.06]; P = .64), and PheT (ratio of geometric means, 0.98 [95% CI, 0.92 to 1.04]; P = .52). Conclusions and Relevance: Among smokers, immediate reduction of nicotine in cigarettes led to significantly greater decreases in biomarkers of smoke exposure across time compared with gradual reduction or a control group, with no significant differences between gradual reduction and control. Trial Registration: clinicaltrials.gov Identifier: NCT02139930.

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Year:  2018        PMID: 30193275      PMCID: PMC6372240          DOI: 10.1001/jama.2018.11473

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  25 in total

1.  Evaluation of the brief questionnaire of smoking urges (QSU-brief) in laboratory and clinical settings.

Authors:  L S Cox; S T Tiffany; A G Christen
Journal:  Nicotine Tob Res       Date:  2001-02       Impact factor: 4.244

Review 2.  Use of hazard indices for a theoretical evaluation of cigarette smoke composition.

Authors:  Hans-Juergen Haussmann
Journal:  Chem Res Toxicol       Date:  2012-02-22       Impact factor: 3.739

3.  Development of the Brief Wisconsin Inventory of Smoking Dependence Motives.

Authors:  Stevens S Smith; Megan E Piper; Daniel M Bolt; Michael C Fiore; David W Wetter; Paul M Cinciripini; Timothy B Baker
Journal:  Nicotine Tob Res       Date:  2010-03-15       Impact factor: 4.244

4.  Screening for depression in primary care clinics: the CES-D and the BDI.

Authors:  J M Zich; C C Attkisson; T K Greenfield
Journal:  Int J Psychiatry Med       Date:  1990       Impact factor: 1.210

5.  Filter ventilation and nicotine content of tobacco in cigarettes from Canada, the United Kingdom, and the United States.

Authors:  L T Kozlowski; N Y Mehta; C T Sweeney; S S Schwartz; G P Vogler; M J Jarvis; R J West
Journal:  Tob Control       Date:  1998       Impact factor: 7.552

6.  Smoking behavior and exposure to tobacco toxicants during 6 months of smoking progressively reduced nicotine content cigarettes.

Authors:  Neal L Benowitz; Katherine M Dains; Sharon M Hall; Susan Stewart; Margaret Wilson; Delia Dempsey; Peyton Jacob
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-02-21       Impact factor: 4.254

7.  The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire.

Authors:  T F Heatherton; L T Kozlowski; R C Frecker; K O Fagerström
Journal:  Br J Addict       Date:  1991-09

8.  50-year trends in smoking-related mortality in the United States.

Authors:  Michael J Thun; Brian D Carter; Diane Feskanich; Neal D Freedman; Ross Prentice; Alan D Lopez; Patricia Hartge; Susan M Gapstur
Journal:  N Engl J Med       Date:  2013-01-24       Impact factor: 91.245

9.  Effects of smoking cessation on eight urinary tobacco carcinogen and toxicant biomarkers.

Authors:  Steven G Carmella; Menglan Chen; Shaomei Han; Anna Briggs; Joni Jensen; Dorothy K Hatsukami; Stephen S Hecht
Journal:  Chem Res Toxicol       Date:  2009-04       Impact factor: 3.739

10.  Reduced nicotine content cigarettes: effects on toxicant exposure, dependence and cessation.

Authors:  Dorothy K Hatsukami; Michael Kotlyar; Louise A Hertsgaard; Yan Zhang; Steven G Carmella; Joni A Jensen; Sharon S Allen; Peter G Shields; Sharon E Murphy; Irina Stepanov; Stephen S Hecht
Journal:  Addiction       Date:  2010-02       Impact factor: 6.526

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  66 in total

1.  Relationships Between Race, Gender, and Spot Urine Levels of Biomarkers of Tobacco Exposure Vary Based on How Creatinine Is Handled in Analyses.

Authors:  Dana M Carroll; Shannon Cigan; Joshua Ikuemonisan; Taylor Hammonds; Irina Stepanov; Gideon St Helen; Neal Benowitz; Dorothy K Hatsukami
Journal:  Nicotine Tob Res       Date:  2020-10-29       Impact factor: 4.244

2.  Comparing participant estimated demand intensity on the cigarette Purchase Task to consumption when usual-brand cigarettes were provided free.

Authors:  Tyler D Nighbor; Anthony J Barrows; Janice Y Bunn; Michael J DeSarno; Anthony C Oliver; Sulamunn R M Coleman; Danielle R Davis; Joanna M Streck; Ellaina N Reed; Derek D Reed; Stephen T Higgins
Journal:  Prev Med       Date:  2020-07-24       Impact factor: 4.018

3.  The Public Health Gains Had Cigarette Companies Chosen to Sell Very Low Nicotine Cigarettes.

Authors:  David T Levy; K Michael Cummings; Bryan W Heckman; Yameng Li; Zhe Yuan; Tracy T Smith; Rafael Meza
Journal:  Nicotine Tob Res       Date:  2021-02-16       Impact factor: 4.244

4.  Association of Cigarette Type and Nicotine Dependence in Patients Presenting for Lung Cancer Screening.

Authors:  Nichole T Tanner; Nina A Thomas; Ralph Ward; Alana Rojewski; Mulugeta Gebregziabher; Benjamin A Toll; Gerard A Silvestri
Journal:  Chest       Date:  2020-06-27       Impact factor: 9.410

5.  Effectiveness of switching to very low nicotine content cigarettes plus nicotine patch versus reducing daily cigarette consumption plus nicotine patch to decrease dependence: an exploratory randomized trial.

Authors:  Elias M Klemperer; John R Hughes; Peter W Callas; Joy A Benner; Nicholas E Morley
Journal:  Addiction       Date:  2019-06-30       Impact factor: 6.526

6.  A Randomized Clinical Trial of Snus Examining the Effect of Complete Versus Partial Cigarette Substitution on Smoking-Related Behaviors, and Biomarkers of Exposure.

Authors:  Ellen Meier; Bruce R Lindgren; Amanda Anderson; Sarah A Reisinger; Kaila J Norton; Joni Jensen; Lori Strayer; Laura Dick; Mei-Kuen Tang; Menglan Chen; Steven G Carmella; Stephen S Hecht; Sharon E Murphy; Jing Yang; Irina Stepanov; Richard J O'Connor; Peter G Shields; Dorothy K Hatsukami
Journal:  Nicotine Tob Res       Date:  2020-04-17       Impact factor: 4.244

7.  Nicotine reduction does not alter essential value of nicotine or reduce cue-induced reinstatement of nicotine seeking.

Authors:  Gregory L Powell; Joshua S Beckmann; Julie A Marusich; Cassandra D Gipson
Journal:  Drug Alcohol Depend       Date:  2020-04-25       Impact factor: 4.492

8.  Very Low Nicotine Content Cigarettes Disrupt the Feedback Loop of Affective States and Smoking Behavior.

Authors:  Jason D Robinson; George Kypriotakis; Mustafa Al'absi; Rachel L Denlinger-Apte; David J Drobes; Scott J Leischow; F Joseph McClernon; Lauren R Pacek; Herbert H Severson; Tracy T Smith; Eric C Donny; Xianghua Luo; Joni A Jensen; Lori G Strayer; Paul M Cinciripini; Dorothy K Hatsukami
Journal:  Nicotine Tob Res       Date:  2020-07-16       Impact factor: 4.244

Review 9.  Reducing tobacco use among women of childbearing age: Contributions of tobacco regulatory science and tobacco control.

Authors:  Allison N Kurti
Journal:  Exp Clin Psychopharmacol       Date:  2019-12-19       Impact factor: 3.157

10.  Randomized Trial of Low-Nicotine Cigarettes and Transdermal Nicotine.

Authors:  Tracy T Smith; Joseph S Koopmeiners; Katelyn M Tessier; Esa M Davis; Cynthia A Conklin; Rachel L Denlinger-Apte; Tonya Lane; Sharon E Murphy; Jennifer W Tidey; Dorothy K Hatsukami; Eric C Donny
Journal:  Am J Prev Med       Date:  2019-10       Impact factor: 5.043

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