Literature DB >> 18266555

Compensatory nicotine self-administration in rats during reduced access to nicotine: an animal model of smoking reduction.

Andrew C Harris1, Danielle Burroughs, Paul R Pentel, Mark G LeSage.   

Abstract

The ability of smoking reduction (e.g., decreasing cigarettes per day) to produce significant reductions in toxin exposure is limited by compensatory increases in smoking behavior. Characterizing factors contributing to the marked individual variability in compensation may be useful for understanding this phenomenon. The goal of the current study was to develop an animal model of smoking reduction and to begin to examine potential behavioral and pharmacokinetic contributors to compensation. Rats trained for nicotine self-administration (NSA) in unlimited access sessions were exposed to a progressive decrease in duration of access to nicotine from 23-hr/day to 10-, 6-, and 2-hr/day. Following a return to 23 hr/day access and extinction, single-dose nicotine pharmacokinetic parameters were determined. Rats exhibited a reduction in total daily nicotine intake during reduced access to NSA, but decreases in nicotine intake were not proportional to decreases in access duration. Compensatory increases in hourly infusion rate were also observed when access was decreased. The magnitude of compensation differed considerably among animals. Early session infusion rate during baseline was significantly correlated, while nicotine clearance was moderately correlated, with 1 measure of compensation. Infusion rates were transiently increased compared to prereduction levels when unlimited access was restored, and this effect was greatest in animals that had exhibited the greatest levels of compensation. These findings indicate that rats exhibit compensatory increases in NSA during reduced access to nicotine, with substantial individual variability. This model may be useful for characterizing underlying factors and potential consequences of compensatory smoking.

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Year:  2008        PMID: 18266555     DOI: 10.1037/1064-1297.16.1.86

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


  18 in total

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2.  A lack of association between severity of nicotine withdrawal and individual differences in compensatory nicotine self-administration in rats.

Authors:  Andrew C Harris; Paul R Pentel; Danielle Burroughs; Mylissa D Staley; Mark G Lesage
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3.  Status and Future Directions of Preclinical Behavioral Pharmacology in Tobacco Regulatory Science.

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4.  Sex differences in nicotine self-administration in rats during progressive unit dose reduction: implications for nicotine regulation policy.

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Journal:  Pharmacol Biochem Behav       Date:  2013-11-04       Impact factor: 3.533

5.  A mouse model for chronic intermittent electronic cigarette exposure exhibits nicotine pharmacokinetics resembling human vapers.

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Journal:  J Neurosci Methods       Date:  2019-07-27       Impact factor: 2.390

6.  Locomotor activity does not predict individual differences in morphine self-administration in rats.

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Journal:  Pharmacol Biochem Behav       Date:  2018-02-02       Impact factor: 3.533

7.  Transdisciplinary Tobacco Use Research Centers: research achievements and future implications.

Authors:  Timothy B Baker; K Michael Cummings; Dorothy K Hatsukami; C Anderson Johnson; Caryn Lerman; Raymond Niaura; Stephanie S O'Malley
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8.  Tobacco use by male prisoners under an indoor smoking ban.

Authors:  Ross M Kauffman; Amy K Ferketich; David M Murray; Paul E Bellair; Mary Ellen Wewers
Journal:  Nicotine Tob Res       Date:  2011-03-29       Impact factor: 4.244

9.  Mouth-Level Nicotine Intake Estimates from Discarded Filter Butts to Examine Compensatory Smoking in Low Nicotine Cigarettes.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-02-26       Impact factor: 4.254

10.  Abuse liability assessment of an e-cigarette refill liquid using intracranial self-stimulation and self-administration models in rats.

Authors:  M G LeSage; M Staley; P Muelken; J R Smethells; I Stepanov; R I Vogel; P R Pentel; A C Harris
Journal:  Drug Alcohol Depend       Date:  2016-09-01       Impact factor: 4.492

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