Literature DB >> 15225885

Analyzing the acquisition of drug self-administration using growth curve models.

Stephanie T Lanza1, Eric C Donny, Linda M Collins, Robert L Balster.   

Abstract

Current approaches to studying acquisition of drug self-administration have modest power to detect individual differences in the pattern of acquisition or to efficiently and accurately describe trajectories of behavior change. Methodological advances in human research have elucidated approaches to describing repeated measure data that focus on modeling the behavior of individual subjects. In this article, we re-analyzed data published in using growth curve modeling to characterize the acquisition of nicotine-taking in rats. Change over time in the infusion rate was examined, revealing that the acquisition process could be described with a quadratic equation represented by intercept, slope, and acceleration parameters. Unit dose of nicotine, sex and fixed ratio (FR) schedule of reinforcement had significant effects on the acquisition curves. Dose altered the absolute rate of infusions, but not the slope or acceleration, indicating that, when an effective dose was available, the shape of acquisition trajectories was not affected by dose. In addition, dose impacted acquisition by moderating the disruption in infusion rates after an increase in the response requirement. Thus, the role of a higher dose may not be to accelerate the acquisition process but to lead to behavior that is more resistant to change. Trajectories differed between males and females at the smallest dose, but these differences dissipated by the end of acquisition. Growth curve modeling captures the process of acquisition of drug self-administration and facilitates a greater understanding of the individual differences in change in drug-taking behavior over time.

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Year:  2004        PMID: 15225885     DOI: 10.1016/j.drugalcdep.2004.02.006

Source DB:  PubMed          Journal:  Drug Alcohol Depend        ISSN: 0376-8716            Impact factor:   4.492


  12 in total

1.  Sex differences in the contribution of nicotine and nonpharmacological stimuli to nicotine self-administration in rats.

Authors:  Nadia Chaudhri; Anthony R Caggiula; Eric C Donny; Sheri Booth; Maysa A Gharib; Laure A Craven; Shannon S Allen; Alan F Sved; Kenneth A Perkins
Journal:  Psychopharmacology (Berl)       Date:  2005-01-29       Impact factor: 4.530

Review 2.  Behavioral mechanisms underlying nicotine reinforcement.

Authors:  Laura E Rupprecht; Tracy T Smith; Rachel L Schassburger; Deanne M Buffalari; Alan F Sved; Eric C Donny
Journal:  Curr Top Behav Neurosci       Date:  2015

3.  A new criterion for acquisition of nicotine self-administration in rats.

Authors:  Natalie A Peartree; Federico Sanabria; Kenneth J Thiel; Suzanne M Weber; Timothy H C Cheung; Janet L Neisewander
Journal:  Drug Alcohol Depend       Date:  2012-01-13       Impact factor: 4.492

4.  Sex differences in nicotine-induced impulsivity and its reversal with bupropion in rats.

Authors:  Javier Íbias; Arbi Nazarian
Journal:  J Psychopharmacol       Date:  2020-07-20       Impact factor: 4.153

5.  Sex differences in conditioned nicotine reward are age-specific.

Authors:  Magalie Lenoir; Amy K Starosciak; Jennifer Ledon; Caitlin Booth; Elena Zakharova; Dean Wade; Beatrice Vignoli; Sari Izenwasser
Journal:  Pharmacol Biochem Behav       Date:  2015-02-28       Impact factor: 3.533

Review 6.  Stress is a principal factor that promotes tobacco use in females.

Authors:  Oscar V Torres; Laura E O'Dell
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2015-04-22       Impact factor: 5.067

7.  Sex and ovarian hormones influence vulnerability and motivation for nicotine during adolescence in rats.

Authors:  Wendy J Lynch
Journal:  Pharmacol Biochem Behav       Date:  2009-07-18       Impact factor: 3.533

8.  Intravenous cocaine self-administration: individual differences in male and female C57BL/6J mice.

Authors:  W C Griffin; P K Randall; L D Middaugh
Journal:  Pharmacol Biochem Behav       Date:  2007-05-05       Impact factor: 3.533

Review 9.  Nicotine reduction: strategic research plan.

Authors:  Dorothy K Hatsukami; Neal L Benowitz; Eric Donny; Jack Henningfield; Mitch Zeller
Journal:  Nicotine Tob Res       Date:  2012-10-25       Impact factor: 4.244

Review 10.  Tobacco dependence and withdrawal: science base, challenges and opportunities for pharmacotherapy.

Authors:  Jack E Henningfield; Saul Shiffman; Stuart G Ferguson; Ellen R Gritz
Journal:  Pharmacol Ther       Date:  2009-04-08       Impact factor: 12.310

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