2022
DOI: 10.1111/bph.15760
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Strategies towards safer opioid analgesics—A review of old and upcoming targets

Abstract: Opioids continue to be of use for the treatment of pain. Most clinically used analgesics target the μ opioid receptor whose activation results in adverse effects like respiratory depression, addiction and abuse liability. Various approaches have been used by the field to separate receptor-mediated analgesic actions from adverse effects. These include biased agonism, opioids targeting multiple receptors, allosteric modulators, heteromers and splice variants of the μ receptor. This review will focus on the curre… Show more

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Cited by 40 publications
(38 citation statements)
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“…Un receptor puede, por tanto, estar funcionado de forma independiente, como homodimero o como heterodímero (13).…”
Section: Receptores Opioides Heterodímerosunclassified
“…Un receptor puede, por tanto, estar funcionado de forma independiente, como homodimero o como heterodímero (13).…”
Section: Receptores Opioides Heterodímerosunclassified
“…However, given pre-clinical and clinical results, biased agonists can represent a useful step in research strategy for the development of safer opioid analgesics. In this context, also dual agonism shown by selected molecules acting as MOR/NOP receptor agonists (e.g., BU08028, BU10038, and AT-121) as well as MOR/KOR agonists, KOR/ DOR agonists, and MOR agonists/KOR antag-onists could be considered a promising approach in this field (71).…”
Section: Conclusion and Future Perspectivementioning
confidence: 99%
“…Recently, the simultaneous multiple opioid receptor (MOR, DOR or δ, kappa opioid receptor [KOR] or κ, and nociceptin-opioid receptor [NOP]) activation has been proposed to reduce the excessive MOR overstimulation and its related side effects. This strategy led to the development of several mixed opioid receptor agonist and mixed agonist–antagonist ligands capable of carrying out MOR–KOR agonism, MOR–NOP receptor agonism, MOP–DOR dual agonism, MOR agonism–DOR antagonism, and KOR–DOR agonism [ 20 ].…”
Section: Introductionmentioning
confidence: 99%