Department of Experimental Medicine, Division of Pharmacology, University of Campania "L. Vanvitelli", 80138 Naples, Italy.
Division of Anesthesiology, Intensive Care and Pain Medicine, ICOT Polo Pontino, Sapienza University of Rome, 04100 Rome, Italy.
Biomolecules. 2021 May 31;11(6):816. doi: 10.3390/biom11060816.
Chronic pain, including neuropathic pain, represents an untreated disease with important repercussions on the quality of life and huge costs on the national health system. It is well known that opioids are the most powerful analgesic drugs, but they represent the second or third line in neuropathic pain, that remain difficult to manage. Moreover, these drugs show several side effects that limit their use. In addition, opioids possess addictive properties that are associated with misuse and drug abuse. Among available opioids compounds, buprenorphine has been suggested advantageous for a series of clinical reasons, including the effectiveness in neuropathic pain. Some properties are partly explained by its unique pharmacological characteristics. However, questions on the dynamic profile remain to be answered. Pharmacokinetics optimization strategies, and additional potentialities, are still to be explored. In this paper, we attempt to conceptualize the potential undiscovered dynamic profile of buprenorphine.
慢性疼痛，包括神经性疼痛，是一种未得到治疗的疾病，对生活质量有重要影响，给国家卫生系统带来巨大负担。众所周知，阿片类药物是最有效的镇痛药，但它们在神经性疼痛的治疗中仅处于二线或三线地位，仍然难以控制。此外，这些药物具有多种副作用，限制了它们的使用。此外，阿片类药物具有成瘾性，这与滥用和药物滥用有关。在可用的阿片类化合物中，丁丙诺啡因其一系列临床原因而被认为具有优势，包括对神经性疼痛的有效性。一些特性部分可以通过其独特的药理学特征来解释。然而，关于其动态特征仍存在一些问题有待回答。药代动力学优化策略以及其他潜在可能性仍有待探索。在本文中，我们试图从概念上理解丁丙诺啡潜在的未被发现的动态特征。
