Literature DB >> 4059592

Analytical cigarette yields as predictors of smoke bioavailability.

G B Gori, C J Lynch.   

Abstract

The smoke intake of 865 undisturbed smokers of over 10 cigarettes per day was measured using plasma nicotine and cotinine, and expired carbon monoxide (CO) as markers. While nicotine yields, according to Federal Trade Commission (FTC) analytical standards, varied 16-fold from 0.1 to 1.6 mg/cigarette, the corresponding plasma nicotine values varied from around 25 to 45 ng/ml, and estimated mean nicotine intake of smokers varied from around 0.75 to 1.25 mg/cigarette. Expired CO and plasma cotinine values also varied in similar proportion, but mean daily cigarette consumption was independent of the FTC nicotine yield of the cigarettes smoked. The results indicate that pharmacodynamic satiation causes behavioral regulation, and that smokers of very high yield brands compensate downward, and vice versa. The ratio of tar yield to nicotine yield usually increases with increasing tar yield; therefore tar intake is likely to increase at higher tar yields, even though the increment of nicotine intake is small. It follows that FTC analytical determinations are poor predictors of relative intake of nicotine, CO, or tar, while rankings based on mean tar-to-nicotine ratio of a brand's smoke could be more meaningful. Moreover, the considerable variation of individual smoking behavior suggests that precise numerical rankings of cigarettes are not justified. An analogic ranking of cigarettes into a few broad classes would better reflect the realities and expectations of average consumers.

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Year:  1985        PMID: 4059592     DOI: 10.1016/0273-2300(85)90045-5

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  21 in total

1.  Cigarette nicotine yields and nicotine intake among Japanese male workers.

Authors:  K Ueda; I Kawachi; M Nakamura; H Nogami; N Shirokawa; S Masui; A Okayama; A Oshima
Journal:  Tob Control       Date:  2002-03       Impact factor: 7.552

2.  The contributions of cigarette yield, consumption, inhalation and puffing behaviour to the prediction of smoke exposure.

Authors:  I Höfer; R Nil; F Wyss; K Bättig
Journal:  Clin Investig       Date:  1992 Mar-Apr

3.  Use of multiple surveys to estimate mortality among never, current, and former smokers: changes over a 20-year interval.

Authors:  W L Rosenbaum; T D Sterling; J J Weinkam
Journal:  Am J Public Health       Date:  1998-11       Impact factor: 9.308

4.  Examining the relation between usual-brand nicotine yield, blood cotinine concentration and the nicotine- "compensation" hypothesis.

Authors:  W S Pritchard; J H Robinson
Journal:  Psychopharmacology (Berl)       Date:  1996-04       Impact factor: 4.530

5.  Determinants of plasma concentrations of nicotine and cotinine during cigarette smoking and transdermal nicotine treatment.

Authors:  S G Gourlay; N L Benowitz; A Forbes; J J McNeil
Journal:  Eur J Clin Pharmacol       Date:  1997       Impact factor: 2.953

Review 6.  Scientific assessment of the use of sugars as cigarette tobacco ingredients: a review of published and other publicly available studies.

Authors:  Ewald Roemer; Matthias K Schorp; Jean-Jacques Piadé; Jeffrey I Seeman; Donald E Leyden; Hans-Juergen Haussmann
Journal:  Crit Rev Toxicol       Date:  2012-01-21       Impact factor: 5.635

Review 7.  The search for safer cigarettes.

Authors:  T Higenbottam
Journal:  BMJ       Date:  1989-10-21

8.  Effects of chronic inhalation of electronic cigarettes containing nicotine on glial glutamate transporters and α-7 nicotinic acetylcholine receptor in female CD-1 mice.

Authors:  Fawaz Alasmari; Laura E Crotty Alexander; Jessica A Nelson; Isaac T Schiefer; Ellen Breen; Christopher A Drummond; Youssef Sari
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2017-03-27       Impact factor: 5.067

Review 9.  The nicotine inhaler: clinical pharmacokinetics and comparison with other nicotine treatments.

Authors:  N G Schneider; R E Olmstead; M A Franzon; E Lunell
Journal:  Clin Pharmacokinet       Date:  2001       Impact factor: 6.447

10.  Spontaneous cigarette brand switching: consequences for nicotine and carbon monoxide exposure.

Authors:  C J Lynch; N L Benowitz
Journal:  Am J Public Health       Date:  1987-09       Impact factor: 9.308

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