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Delta Opioid Receptor Pharmacology and Therapeutic Applications

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Attention for Chapter 42: Delta Opioid Receptors and Modulation of Mood and Emotion
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Chapter title
Delta Opioid Receptors and Modulation of Mood and Emotion
Chapter number 42
Book title
Delta Opioid Receptor Pharmacology and Therapeutic Applications
Published in
Handbook of experimental pharmacology, January 2017
DOI 10.1007/164_2017_42
Pubmed ID
Book ISBNs
978-3-31-995131-7, 978-3-31-995133-1
Authors

Isaac J. Dripps, Emily M. Jutkiewicz, Dripps, Isaac J., Jutkiewicz, Emily M.

Abstract

Depression is a pervasive and debilitating mental disorder that is inadequately treated by current pharmacotherapies in a majority of patients. Although opioids have long been known to regulate mood states, the use of opioids to treat depression is rarely discussed. This chapter explores the preclinical and clinical evidence supporting the antidepressant-like effects of opioid ligands, and in particular, delta opioid receptor (DOR) agonists. DOR agonists have been shown to produce antidepressant-like effects in a number of animal models. Some DOR agonists also produce convulsions which has limited their clinical utility. However, DOR agonists that generate antidepressant-like effects without convulsions have recently been developed and these drugs are beginning to be evaluated in humans. Work investigating potential mechanisms of action for the antidepressant-like effects of DOR agonists is also explored. Understanding mechanisms that give rise to DOR-mediated behaviors is critical for the development of DOR drugs with improved safety and clinical utility, and future work should be devoted to elucidating these pathways.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Student > Bachelor 3 12%
Other 3 12%
Researcher 2 8%
Student > Master 1 4%
Other 3 12%
Unknown 8 32%
Readers by discipline Count As %
Neuroscience 4 16%
Chemistry 3 12%
Biochemistry, Genetics and Molecular Biology 2 8%
Medicine and Dentistry 2 8%
Social Sciences 2 8%
Other 3 12%
Unknown 9 36%