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Endogenous Opioids: Biology and Function

Authors: Stanley J. Watson; Elizabeth A. Young; Michael E. Lewis; Huda Akil; J. M. Walker; Henry Khachaturian;

Endogenous Opioids: Biology and Function

Abstract

even less so. It was therefore impossible for the functionally minded neuro­ scientist to design and execute experiments taking this heterogeneity into consideration. Even pharmacological studies with these peptides were difficult to interpret in a physiological framework. In 1982, thanks mainly to the recombinant DNA techniques, we learned that all these peptides belong to three genetically distinct peptide families, as we describe below. We now know a great deal more about their anatomy, and we are beginning to clarify their biosynthetic pathways. Suddenly, we can think in terms of circuits rather than in "humors" or in black boxes. In our study offunction, we can no longer ignore the multiple systems, any more than the student of monoamines can ignore differences between dopaminergic and noradrenergic systems. Less clear, but equally critical, is the issue of multiple opioid receptors. Unquestionably, the heterogeneity exists. What remains to be established is whether each of the three families of opioids has its own receptor, or whether a given family can interact with more than one SUbtype, and each receptor subtype with more than one family. More critical to physiology is whether

Keywords

Behavior, Pro-Opiomelanocortin, Morphine, Naloxone, Brain, Pain, Blood Pressure, Drug Tolerance, Enkephalins, Cardiovascular Physiological Phenomena, Adrenal Medulla, Pituitary Hormones, Anterior, Pregnancy, Endocrine Glands, Pituitary Gland, Animals, Humans, Female, Endorphins, Analgesia

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citations
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!
1K
Top 1%
Top 0.1%
Top 0.1%
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