Title |
Clinical utility of naloxegol in the treatment of opioid-induced constipation
|
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Published in |
Journal of Pain Research, June 2015
|
DOI | 10.2147/jpr.s61326 |
Pubmed ID | |
Authors |
Heather C Bruner, Rabia S Atayee, Kyle P Edmonds, Gary T Buckholz |
Abstract |
Opioids are a class of medications frequently used for the treatment of acute and chronic pain, exerting their desired effects at central opioid receptors. Agonism at peripherally located opioid receptors, however, leads to opioid-induced constipation (OIC), one of the most frequent and debilitating side effects of prolonged opioid use. Insufficient relief of OIC with lifestyle modification and traditional laxative treatments may lead to decreased compliance with opioid regimens and undertreated pain. Peripherally acting mu-opioid receptor antagonists (PAMORAs) offer the reversal of OIC without loss of central pain relief. Until recently, PAMORAs were restricted to subcutaneous route or to narrow patient populations. Naloxegol is the first orally dosed PAMORA indicated for the treatment of OIC in noncancer patients. Studies have suggested its efficacy in patients failing traditional constipation treatments; however, insufficient evidence exists to establish its role in primary prevention of OIC at this time. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 7 | 18% |
Student > Bachelor | 4 | 10% |
Researcher | 4 | 10% |
Student > Doctoral Student | 3 | 8% |
Student > Postgraduate | 3 | 8% |
Other | 8 | 21% |
Unknown | 10 | 26% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 17 | 44% |
Nursing and Health Professions | 4 | 10% |
Agricultural and Biological Sciences | 2 | 5% |
Computer Science | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 5 | 13% |
Unknown | 9 | 23% |