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Comparative Drug Metabolism

Authors: L B, Mellett;

Comparative Drug Metabolism

Abstract

The tradition of testing the poisonous properties of food and drink by administering the material to animals extends back through the history of mankind. In some civilizations the expediency of employing human beings as professional ‘tasters’ was an acceptable practice. The use of humans for this sort of testing is unacceptable under present-day moral and ethical values. When we adopt the approach that animal testing may predict pharmacological or toxicological responses for man, we do so from a conviction that there is a common-ground plan for all living matter. Indeed, the major biochemical discoveries of the last three decades lend support for this conviction. As we have come to use animals more to predict the response of humans to drugs, we have come to realize that the similarities between animals and man are great, but so are the differences. In a phrase, we have become pharmacologically sophisticated.

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Keywords

Blood Volume, Chemical Phenomena, Drug-Related Side Effects and Adverse Reactions, Body Surface Area, Age Factors, Glucuronates, Haplorhini, Kidney, Methylation, Absorption, Chemistry, Dogs, Cricetinae, Animals, Humans, Disease, Basal Metabolism, Glycosides, Cardiac Output, Azo Compounds

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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Average
Top 10%
Top 10%
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