多物质使用的行为经济分析:Sprague-Dawley大鼠中可卡因、芬太尼和可卡因-芬太尼混合物的研究

Harmony I. Risca, G. Collins
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引用次数: 0

摘要

近年来,兴奋剂和阿片类药物的共同使用越来越明显,但很少有研究系统地调查了可卡因-芬太尼混合物的强化作用。行为经济学需求分析提供了一种转化方法来量化不同类别(兴奋剂与阿片类药物)药物强化剂的相对价值,使其成为帮助确定促进人类使用多物质的因素的可行方法。目前的研究使用了一种多组分药物自我给药计划来评估雄性和雌性大鼠对可卡因(0.032、0.1、0.32、1.0 mg/kg/inf)、芬太尼(0.00032、0.001、0.0032、0.01 mg/kg/inf)和可卡因:芬太尼混合物(相对于上述剂量范围,比例为10:1、3:1、1:1、1:3、1:10)的经济需求。可获得的单位剂量药物在4,20分钟药物成分中增加,反应要求(固定比例)在各疗程中增加。可卡因、芬太尼及其各自混合物的需求曲线是通过将消费量(获得的注射次数)归一化到q0(无约束需求的估计值)来生成的,并绘制为标准化价格(FR × q0)的函数。使用需求曲线分析产生的弹性系数(a)来评估每种药物和混合制剂的相对价值。芬太尼的弹性系数大于可卡因(即可卡因具有更大的“基本值”)。同样,对10:1的可卡因+芬太尼混合物的需求大于对单独芬太尼的需求,但与可卡因相当。1:3和1:10可卡因+芬太尼的混合物产生的α值大于可卡因,但小于芬太尼,进一步表明相互作用在强化作用方面可能是严格的相加性。目前的研究结果证实了将阿片类药物与兴奋剂结合使用以“增强快感”的非医疗阿片类药物使用者的报告。综上所述,可卡因和芬太尼的共同使用可能会增加发生物质使用障碍的风险。此外,针对阿片类药物使用的治疗对于同时使用兴奋剂(如可卡因和阿片类药物)的个体可能效果较差。未来的研究有必要评估阿片类药物依赖和戒断如何影响可卡因-芬太尼混合物与单独使用任何一种药物的强化效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Behavioral Economic Analysis of Polysubstance Use: Studies with Cocaine, Fentanyl, and Cocaine–Fentanyl Mixtures in Sprague-Dawley Rats
The co-use of stimulants and opioids has become increasingly evident in recent years, yet few studies have systematically investigated the reinforcing effects of cocaine-fentanyl mixtures. Behavioral economic demand analyses provide a translational approach to quantify the relative value of drug reinforcers across different classes (stimulant vs opioid), making it a viable method to help ascertain factors which promote polysubstance use in humans. The current study used a multiple component schedule of drug self-administration to assess economic demand for cocaine (0.032, 0.1, 0.32, 1.0 mg/kg/inf), fentanyl (0.00032, 0.001, 0.0032, 0.01 mg/kg/inf), and mixtures of cocaine:fentanyl (in 10:1, 3:1, 1:1, 1:3, 1:10, relative to the dose ranges above) in male and female rats. Available unit-doses of drug increased across 4, 20-min drug components, with increases in the response requirement (fixed ratio) occurring across sessions. Demand curves for cocaine, fentanyl, and their respective mixtures were generated by normalizing consumption (number of infusions earned) to Q 0 (estimate of unconstrained demand) and plotted as a function of standardized price (FR × Q 0 ). Elasticity coefficients ( a ) generated from demand curve analyses were used to assess the relative value of each drug and mixture preparation. The elasticity coefficient of fentanyl was greater than that of cocaine (i.e., cocaine had a greater “ essential value ” ). Similarly, demand for the 10:1 mixture of cocaine + fentanyl was found to be greater than demand for fentanyl alone but comparable to cocaine. Mixtures of 1:3 and 1:10 cocaine + fentanyl produced alpha values that were greater than that of cocaine but not that of fentanyl, further suggesting that interactions may be strictly additive in respect to their reinforcing effects. Results from the current study compliment reports from nonmedical opioid users who combine opioids with stimulants to “ enhance the high ” . Taken together, the co-use of cocaine and fentanyl may increase the risk for developing a substance use disorder. Additionally, treatment targeting opioid use may be less effective in individuals who co-use stimulants such as cocaine with opioids. Future studies are warranted to assess how opioid dependence and withdrawal may impact the re-inforcing effectiveness of cocaine-fentanyl mixtures compared to either drug alone.
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