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dc.contributor.authorChai, Peter R.
dc.contributor.authorCarreiro, Stephanie
dc.contributor.authorRanney, Megan L.
dc.contributor.authorKaranam, Ketki
dc.contributor.authorAhtisaari, Marko
dc.contributor.authorEdwards, Robert
dc.contributor.authorSchreiber, Kristin L.
dc.contributor.authorBen-Ghaly, Lubabah
dc.contributor.authorErickson, Timothy B.
dc.contributor.authorBoyer, Edward W.
dc.date2022-08-11T08:08:18.000
dc.date.accessioned2022-08-23T15:49:54Z
dc.date.available2022-08-23T15:49:54Z
dc.date.issued2017-06-23
dc.date.submitted2017-10-24
dc.identifier.citation<p>J. Med. Toxicol. (2017) 13:249–254. doi: 10.1007/s13181-017-0621-9. <a href="https://doi.org/10.1007/s13181-017-0621-9">Link to article on publisher's site</a></p>
dc.identifier.issn1556-9039 (Linking)
dc.identifier.doi10.1007/s13181-017-0621-9
dc.identifier.pmid28646359
dc.identifier.urihttp://hdl.handle.net/20.500.14038/28545
dc.description.abstractEpidemic increases in opioid use in the USA and globally highlight the need for effective adjunctive therapies to opioid-based analgesia. Given the shortcomings of behavioral adjuncts to opioid-based pain treatment, an urgent need exists for pain-related behavioral interventions that resonate with broad patient populations, can be delivered confidentially in any environment, and can incorporate new content automatically. Understanding the potential for automated behavioral therapies like music therapy in modulating the experience of pain may unlock methods to transition patients to lower doses of pharmacologic therapy or provide alternatives to opioids during acute exacerbations of pain. This manuscript describes the neurologic mechanism of action, theoretical basis, and potential applications of personalized music as a smartphone-based mHealth intervention for acute and chronic pain management.
dc.language.isoen_US
dc.relation<p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=28646359&dopt=Abstract">Link to Article in PubMed</a></p>
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570730/
dc.subjectMusic
dc.subjectOpioids
dc.subjectPain
dc.subjectmHealth
dc.subjectBehavioral medicine
dc.subjectUMCCTS funding
dc.subjectAnesthesia and Analgesia
dc.subjectBehavioral Medicine
dc.subjectEmergency Medicine
dc.subjectHealth Information Technology
dc.subjectMedical Toxicology
dc.subjectPain Management
dc.subjectRehabilitation and Therapy
dc.subjectTherapeutics
dc.titleMusic as an Adjunct to Opioid-Based Analgesia
dc.typeJournal Article
dc.source.journaltitleJournal of medical toxicology : official journal of the American College of Medical Toxicology
dc.source.volume13
dc.source.issue3
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/emed_pp/88
dc.identifier.contextkey10942885
html.description.abstract<p>Epidemic increases in opioid use in the USA and globally highlight the need for effective adjunctive therapies to opioid-based analgesia. Given the shortcomings of behavioral adjuncts to opioid-based pain treatment, an urgent need exists for pain-related behavioral interventions that resonate with broad patient populations, can be delivered confidentially in any environment, and can incorporate new content automatically. Understanding the potential for automated behavioral therapies like music therapy in modulating the experience of pain may unlock methods to transition patients to lower doses of pharmacologic therapy or provide alternatives to opioids during acute exacerbations of pain. This manuscript describes the neurologic mechanism of action, theoretical basis, and potential applications of personalized music as a smartphone-based mHealth intervention for acute and chronic pain management.</p>
dc.identifier.submissionpathemed_pp/88
dc.contributor.departmentDepartment of Emergency Medicine, Division of Medical Toxicology
dc.source.pages249–254


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