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The Neuropharmacology of Nicotine Dependence

Overview of attention for book
Attention for Chapter 6: Psychiatric disorders as vulnerability factors for nicotine addiction: what have we learned from animal models?
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Chapter title
Psychiatric disorders as vulnerability factors for nicotine addiction: what have we learned from animal models?
Chapter number 6
Book title
The Neuropharmacology of Nicotine Dependence
Published in
Current topics in behavioral neurosciences, January 2015
DOI 10.1007/978-3-319-13482-6_6
Pubmed ID
Book ISBNs
978-3-31-913481-9, 978-3-31-913482-6
Authors

Bernard Le Foll, Enoch Ng, Patricia Di Ciano, José M Trigo, José M. Trigo, Le Foll, Bernard, Ng, Enoch, Di Ciano, Patricia, Trigo, José M.

Abstract

Epidemiological studies indicate a high prevalence of tobacco smoking in subjects with psychiatric disorders. Notably, there is a high prevalence of smoking among those with dependence to other substances, schizophrenia, mood, or anxiety disorders. It has been difficult to understand how these phenomena interact with clinical populations as it is unclear what preceded what in most of the studies. These comorbidities may be best understood by using experimental approaches in well-controlled conditions. Notably, animal models represent advantageous approaches as the parameters under study can be controlled perfectly. This review will focus on evidence collected so far exploring how behavioral effects of nicotine are modified in animal models of psychiatric conditions. Notably, we will focus on behavioral responses induced by nicotine that are relevant for its addictive potential. Despite the clinical relevance and frequency of the comorbidity between psychiatric issues and tobacco smoking, very few studies have been done to explore this issue in animals. The available data suggest that the behavioral and reinforcing effects of nicotine are enhanced in animal models of these comorbidities, although much more experimental work would be required to provide certainty in this domain.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Student > Ph. D. Student 5 15%
Student > Bachelor 4 12%
Unspecified 3 9%
Student > Doctoral Student 2 6%
Other 4 12%
Unknown 10 29%
Readers by discipline Count As %
Psychology 7 21%
Medicine and Dentistry 5 15%
Unspecified 3 9%
Agricultural and Biological Sciences 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Other 3 9%
Unknown 12 35%