Cited by 11

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

Meier, Ellen, Lindgren, Bruce R, Anderson, Amanda, Reisinger, Sarah A, Norton, Kaila J, Jensen, Joni, Strayer, Lori, Dick, Laura +10 more·2020·Nicotine & Tobacco Research

Abstract

Introduction: This 8-week multisite, randomized controlled trial of snus examined the differential effects of instructions on (1) snus use, (2) smoking and smoking-related measures, and (3) exposure to tobacco-related constituents. Method: US adult daily cigarette smokers (n = 150; 43.3% female; Medianage = 43.5) were recruited from Minneapolis, Minnesota; Columbus and Coshocton, Ohio; and Buffalo, New York. Following a 1-week sampling phase of snus, participants who used at least 7 pouches were randomized to either (1) partial substitution (PS; “use snus as you like with your cigarettes”), (2) complete substitution (CS; “avoid cigarettes”), or (3) usual brand cigarettes (UB). Analyses included between-group analyses (eg, PS vs. CS) using Wilcoxon rank sum test of cigarettes per day and snus pouches per day, and a linear mixed model (biomarkers). Results: Compared to the PS and UB groups, smokers assigned to CS reported greater reductions in cigarettes per day (ps < .001), using more snus pouches per day (p = .02), and more smoke-free days (CS median = 14.5, PS and UB medians = 0, p < .001). In addition, results demonstrated reductions in carbon monoxide (p < .001), total nicotine equivalents (p = .02), and four out of five measured volatile organic compounds (ps < .01) over time among the CS group. Exposure to N′-nitrosonornicotine increased by trial end only among the PS group (p < .04). Phenanthrene tetraol increased among all groups by trial end (p = .02) with no difference between groups. Conclusions: Instructions to completely switch from cigarettes to snus resulted in the greatest reduction in cigarettes and exposure to harmful constituents. Implications: Directly instructing smokers to switch completely to snus, rather than using ad libitum (with no instructions to avoid cigarettes), is necessary for reductions in smoking and subsequent exposure to harmful constituents.

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  • Complete switching to snus for 8 weeks reduces cigarettes per day from 15 to 1.5 (p < 0.001) compared to partial switching or continuing conventional cigarette smoking.

    “Reduce in cigarettes per day (CPD) after complete switching to snus for 8 weeks (from 15 to 1.5; p < 0.001) compared to partial switching (from 14.7 to 11.7; p = 0.02) or continuing CC smoking (from 14.1 to 15.6; p = 0.02) (Meier et al. 2019)”
  • Complete and partial switching to snus increases snus per day use and increases smoke-free days (p = 0.02 and p < 0.001, respectively).

    “Increase in snus per day (SPD) use after complete and partial switching to snus (from 0 to 7.1 for complete and from 0 to 4.6 for partial Switching to snus; p = 0.02), as well as more smoke-free days (median = 14.5 for complete switching to snus, median = 0 for partial switching to snus and continuing CC smoking; p < 0.001)”

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Research works printed but not linked: 31

  1. Fagerström KO, Schildt EB. Should the European Union lift the ban on snus? Evidence from the Swedish experience. Addiction. 2003;98(9):1191-1195.
  2. Foulds J, Ramstrom L, Burke M, Fagerström K. Effect of smokeless to- bacco (snus) on smoking and public health in Sweden. Tob Control. 2003;12(4):349-359.
  3. Levy DT, Mumford EA, Cummings KM, et al. The relative risks of a low- nitrosamine smokeless tobacco product compared with smoking cigar- ettes: Estimates of a panel of experts. Cancer Epidemiol Biomarkers Prev. 2004;13(12):2035-2042.
  4. Bates C, Fagerström K, Jarvis MJ, Kunze M, McNeill A, Ramström L. European Union policy on smokeless tobacco: A statement in favour of evidence based regulation for public health. Tob Control. 2003;12(4):360-367.
  5. Lee PN. The effect on health of switching from cigarettes to snus-a re- view. Regul Toxicol Pharmacol. 2013;66(1):1-5.
  6. Rostron BL, Chang JT, Anic GM, Tanwar M, Chang CM, Corey CG. Smokeless tobacco use and circulatory disease risk: a systematic review and meta-analysis. Open Heart. 2018;5(2):e000846.
  7. Hatsukami DK, Hanson K, Briggs A, et al. Clinical trials methods for evaluation of potential reduced exposure products. Cancer Epidemiol Biomarkers Prev. 2009;18(12):3143-3195.
  8. Hatsukami DK, Severson H, Anderson A, et al. Randomised clinical trial of snus versus medicinal nicotine among smokers interested in product switching. Tob Control. 2016;25(3):267-274.
  9. Caldwell B, Burgess C, Crane J. Randomized crossover trial of the accept- ability of snus, nicotine gum, and Zonnic therapy for smoking reduction in heavy smokers. Nicotine Tob Res. 2010;12(2):179-183.
  10. Heatherton TF, Kozlowski LT, Frecker RC, Fagerström KO. The Fagerström test for nicotine dependence: a revision of the Fagerström Tolerance Questionnaire. Br J Addict. 1991;86(9):1119-1127.
  11. Scherer G, Engl J, Urban M, Gilch G, Janket D, Riedel K. Relationship be- tween machine-derived smoke yields and biomarkers in cigarette smokers in Germany. Regul Toxicol Pharmacol. 2007;47(2):171-183.
  12. Hecht SS, Yuan JM, Hatsukami D. Applying tobacco carcinogen and toxi- cant biomarkers in product regulation and cancer prevention. Chem Res Toxicol. 2010;23(6):1001-1008.
  13. Urban M, Kavvadias D, Riedel K, Scherer G, Tricker AR. Urinary mercapturic acids and a hemoglobin adduct for the dosimetry of acrylamide exposure in smokers and nonsmokers. Inhal Toxicol. 2006;18(10):831-839.
  14. Murphy SE, Villalta P, Ho SW, von Weymarn LB. Analysis of [3',3'-d(2)]-nicotine and [3',3'-d(2)-cotinine by capillary liquid chromatography-electrospray tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci. 2007;857(1):1-8.
  15. Carmella SG, Ming X, Olvera N, Brookmeyer C, Yoder A, Hecht SS. High throughput liquid and gas chromatography-tandem mass spectrometry assays for tobacco-specific nitrosamine and polycyclic aromatic hydro- carbon metabolites associated with lung cancer in smokers. Chem Res Toxicol. 2013;26(8):1209-1217.
  16. Carmella SG, Chen M, Zarth A, Hecht SS. High throughput liquid chromatography-tandem mass spectrometry assay for mercapturic acids of acrolein and crotonaldehyde in cigarette smokers' urine. J Chromatogr B Analyt Technol Biomed Life Sci. 2013;935(1):36-40.
  17. Zarth AT, Carmella SG, Le CT, Hecht SS. Effect of cigarette smoking on urinary 2-hydroxypropylmercapturic acid, a metabolite of propylene oxide. J Chromatogr B Analyt Technol Biomed Life Sci. 2014;953-954(1):126-131.
  18. Pluym N, Gilch G, Scherer G, Scherer M. Analysis of 18 urinary mercapturic acids by two high-throughput multiplex-LC-MS/MS methods. Anal Bioanal Chem. 2015;407(18):5463-5476.
  19. Carmella SG, Chen M, Han S, et al. Effects of smoking cessation on eight urinary tobacco carcinogen and toxicant biomarkers. Chem Res Toxicol. 2009;22(4):734-741.
  20. Murphy SE, Park SS, Thompson EF, et al. Nicotine N-glucuronidation relative to N-oxidation and C-oxidation and UGT2B10 genotype in five ethnic/racial groups. Carcinogenesis. 2014;35(11):2526-2533.
  21. Hatsukami DK, Luo X, Jensen JA, et al. Effect of immediate vs gradual reduction in nicotine content of cigarettes on biomarkers of smoke ex- posure: a randomized clinical trial. JAMA. 2018;320(9):880-891.
  22. Kotandeniya D, Carmella SG, Pillsbury ME, Hecht SS. Combined analysis of N'-nitrosonornicotine and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol in the urine of cigarette smokers and e-cigarette users. J Chromatogr B Analyt Technol Biomed Life Sci. 2015;1007(1):121-126.
  23. Diggle PJ, Heagerty P, Liang KY, Zeger SL. Analysis of Longitudinal Data. Vol 2. Oxford, United Kingdom: Oxford University Press; 2002.
  24. Verbeke G, Molenberghs G. Linear Mixed Models for Longitudinal Data. New York, NY: Springer; 2000.
  25. Sarkar M, Liu J, Koval T, et al. Evaluation of biomarkers of exposure in adult cigarette smokers using Marlboro snus. Nicotine Tob Res. 2010;12(2):105-116.
  26. Kotlyar M, Hertsgaard LA, Lindgren BR, et al. Effect of oral snus and medicinal nicotine in smokers on toxicant exposure and withdrawal symptoms: a feasibility study. Cancer Epidemiol Biomarkers Prev. 2011;20(1):91-100.
  27. Meier E, Vogel RI, Carmella S, Paiano V, Hecht SS, Hatsukami DK. Polycyclic aromatic hydrocarbon biomarker levels among smokers who switch to oral nicotine. Tobacco Regulatory Science. 2017;3(2):204-209.
  28. Zhong Y, Wang J, Carmella SG, et al. Metabolism of [D10]phenanthrene to tetraols in smokers for potential lung cancer susceptibility assessment: comparison of oral and inhalation routes of administration. J Pharmacol Exp Ther. 2011;338(1):353-361.
  29. Watzek N, Scherbl D, Feld J, et al. Profiling of mercapturic acids of acrolein and acrylamide in human urine after consumption of potato crisps. Mol Nutr Food Res. 2012;56(12):1825-1837.
  30. Tam J, Day HR, Rostron BL, Apelberg BJ. A systematic review of transi- tions between cigarette and smokeless tobacco product use in the United States. BMC Public Health. 2015;15:258.
  31. Biener L, Roman AM, Mc Inerney SA, et al. Snus use and rejection in the USA. Tob Control. 2016;25(4):386-392.

Authors
Meier, E., Lindgren, B. R., Anderson, A., Reisinger, S. A., Norton, K. J., Jensen, J., Strayer, L., Dick, L., Tang, M.-K., Chen, M., Carmella, S. G., Hecht, S. S., Murphy, S. E., Yang, J., Stepanov, I., O’Connor, R. J., Shields, P. G., & Hatsukami, D. K.
Venue
Nicotine & Tobacco Research
Published
2019-04-11
Volume
22
Issue
4
Pages
473-481
ISSN
  • 1462-2203
  • 1469-994X
Cited by
11
References
1
Language
en
Funders
  • National Cancer Institute (U19CA157345)
  • National Center for Advancing Translational Sciences (UL1 TR000062)
  • National Institutes of Health
  • National Institute on Drug Abuse (T32 DA007097)

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