Pertwee Roger G
Institute of Medical Sciences, University of Aberdeen, Foresterhill, UK.
Br J Pharmacol. 2009 Feb;156(3):397-411. doi: 10.1111/j.1476-5381.2008.00048.x.
Medicines that activate cannabinoid CB(1) and CB(2) receptor are already in the clinic. These are Cesamet (nabilone), Marinol (dronabinol; Delta(9)-tetrahydrocannabinol) and Sativex (Delta(9)-tetrahydrocannabinol with cannabidiol). The first two of these medicines can be prescribed to reduce chemotherapy-induced nausea and vomiting. Marinol can also be prescribed to stimulate appetite, while Sativex is prescribed for the symptomatic relief of neuropathic pain in adults with multiple sclerosis and as an adjunctive analgesic treatment for adult patients with advanced cancer. One challenge now is to identify additional therapeutic targets for cannabinoid receptor agonists, and a number of potential clinical applications for such agonists are mentioned in this review. A second challenge is to develop strategies that will improve the efficacy and/or the benefit-to-risk ratio of a cannabinoid receptor agonist. This review focuses on five strategies that have the potential to meet either or both of these objectives. These are strategies that involve: (i) targeting cannabinoid receptors located outside the blood-brain barrier; (ii) targeting cannabinoid receptors expressed by a particular tissue; (iii) targeting up-regulated cannabinoid receptors; (iv) targeting cannabinoid CB(2) receptors; or (v) 'multi-targeting'. Preclinical data that justify additional research directed at evaluating the clinical importance of each of these strategies are also discussed.
激活大麻素CB(1)和CB(2)受体的药物已进入临床应用阶段。这些药物包括赛美特(纳布啡)、玛琳诺(屈大麻酚;Δ⁹-四氢大麻酚)和萨替维克斯(含大麻二酚的Δ⁹-四氢大麻酚)。前两种药物可用于减轻化疗引起的恶心和呕吐。玛琳诺还可用于刺激食欲,而萨替维克斯则用于缓解成年多发性硬化症患者的神经性疼痛症状,并作为成年晚期癌症患者的辅助镇痛治疗药物。目前面临的一个挑战是确定大麻素受体激动剂的其他治疗靶点,本综述中提到了此类激动剂的一些潜在临床应用。第二个挑战是制定能够提高大麻素受体激动剂疗效和/或效益风险比的策略。本综述重点关注了五种有可能实现上述一个或两个目标的策略。这些策略包括:(i)靶向位于血脑屏障之外的大麻素受体;(ii)靶向特定组织表达的大麻素受体;(iii)靶向上调的大麻素受体;(iv)靶向大麻素CB(2)受体;或(v)“多靶点”。同时还讨论了支持进一步开展研究以评估这些策略各自临床重要性的临床前数据。