Chai Peter R, Carreiro Stephanie, Ranney Megan L, Karanam Ketki, Ahtisaari Marko, Edwards Robert, Schreiber Kristin L, Ben-Ghaly Lubabah, Erickson Timothy B, Boyer Edward W
Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis St, Boston, MA, 02114, USA.
Division of Medical Toxicology, Department of Emergency Medicine, University of Massachusetts Medical School, 55 Lake Ave N, Worcester, MA, USA.
J Med Toxicol. 2017 Sep;13(3):249-254. doi: 10.1007/s13181-017-0621-9. Epub 2017 Jun 23.
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.
美国及全球范围内阿片类药物使用的流行增加，凸显了对基于阿片类药物镇痛的有效辅助疗法的需求。鉴于基于阿片类药物的疼痛治疗中行为辅助疗法的不足，迫切需要一种与广大患者群体产生共鸣、可在任何环境中保密提供且能自动纳入新内容的疼痛相关行为干预措施。了解音乐疗法等自动化行为疗法在调节疼痛体验方面的潜力，可能会找到方法帮助患者过渡到更低剂量的药物治疗，或在疼痛急性加重期间提供阿片类药物的替代方案。本手稿描述了个性化音乐作为一种基于智能手机的移动健康干预措施用于急性和慢性疼痛管理的神经作用机制、理论基础及潜在应用。
