Download e-book for kindle: Computational Neuroscience of Drug Addiction by Vladimir L. Tsibulsky, Andrew B. Norman (auth.), Boris

By Vladimir L. Tsibulsky, Andrew B. Norman (auth.), Boris Gutkin, Serge H. Ahmed (eds.)

ISBN-10: 1461407508

ISBN-13: 9781461407508

Drug dependancy is still the most vital public illnesses in western societies and is a emerging predicament for constructing international locations. over the last three many years, experimental study at the neurobiology and psychology of drug dependancy has generated a torrent of interesting facts, from the molecular as much as the behavioral degrees. for this reason, a brand new and urgent problem for dependancy examine is to formulate a man-made theoretical framework that is going well past mere clinical eclectism to deepen our figuring out of drug dependancy and to foster our capability to avoid and to remedy drug habit. Intrigued by way of the plain irrational habit of drug addicts, researchers from quite a lot of medical disciplines have formulated a plethora of theoretical schemes through the years to appreciate habit. notwithstanding, almost all these theories and types are qualitative in nature and are formulated utilizing phrases which are usually ill-defined. for that reason, the empirical validity of those versions has been tricky to check carefully, which has served to generate extra controversy than readability. during this context, as in different clinical fields, mathematical and computational modeling may still give a contribution to the advance of extra testable and rigorous types of addiction.

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It is possible that the rank order of antagonist potencies for a specific receptor measured in vitro and in vivo may be different if there are significant differences in their apparent Vd . However, because the apparent Vd of an antagonist should be constant, the rank order of in vivo potencies for a series of antagonists should also be constant for different responses mediated by the same receptor population. 4 Summary The self-administration paradigm represents a sensitive and rapid assay system to measure the pharmacokinetic and pharmacodynamic potencies of self-administered agonists and antagonists of the receptor populations in the brain mediating this agonist-induced behavior.

Neuropsychopharmacology 192:337–346 Chapter 2 Intermittent Adaptation: A Mathematical Model of Drug Tolerance, Dependence and Addiction Abraham Peper Abstract A model of drug tolerance, dependence and addiction is presented. The model is essentially much more complex than the commonly used model of homeostasis, which is demonstrated to fail in describing tolerance development to repeated drug administrations. The model assumes the development of tolerance to a repeatedly administered drug to be the result of a process of intermittently developing adaptation.

Whether this caveat will prove to be a significant limitation of this method will only become apparent from additional studies (Norman et al. 2001a). Drug concentrations in the body are influenced by several simultaneous processes. Some of them are reversible, for example, distribution and redistribution, association and dissociation. Some are irreversible, for example, administration and elimination. Quasi-steady state of the agonist during maintained self-administration is achieved because of the quasi-equilibrium between administration and elimination.

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Computational Neuroscience of Drug Addiction by Vladimir L. Tsibulsky, Andrew B. Norman (auth.), Boris Gutkin, Serge H. Ahmed (eds.)


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