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松鼠猴在瑞芬太尼和食物之间的经济选择。

Economic choice between remifentanil and food in squirrel monkeys.

机构信息

Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, USA.

出版信息

Neuropsychopharmacology. 2022 Jun;47(7):1398-1404. doi: 10.1038/s41386-021-00996-6. Epub 2021 Apr 8.

Abstract

Traditional approaches for evaluating if compounds are reinforcing, and thus a risk for abuse, include preclinical self-administration procedures conducted in the absence of alternative reinforcers. While the track record of this approach for determining abuse potential is good, that for predicting efficacy of addiction treatments is not. An alternate approach would be economic choice between drug and nondrug rewards, with parametrically varied options from trial to trial. This would promote goal-directed decisions between reward modalities and should provide metrics that reflect changes in internal state that influence desirability of a given option. We report herein a high throughput economic choice procedure in which squirrel monkeys choose between a short-lived opiate, remifentanil, and a palatable food reward. Stimuli on touchscreens indicate the amount of each reward type offered by varying the number of reward-specific elements. The rapid clearance of remifentanil avoids accumulation of confounding levels of drug, and permits a large number of trials with a wide range of offers of each reward modality. The use of a single metric encompassing multiple values of each reward type within a session enables estimation of indifference values using logistic regression. This indifference value is sensitive to reward devaluation within each reward domain, and is therefore a useful metric for determining shifts in reward preference, as shown with satiation and pharmacological treatment approaches.

摘要

传统的评估化合物是否具有强化作用,从而具有滥用风险的方法包括在没有替代强化物的情况下进行临床前自我给药程序。虽然这种方法确定滥用潜力的记录良好,但预测成瘾治疗效果的记录却不佳。另一种方法是在药物和非药物奖励之间进行经济选择,每次试验都有参数变化的选项。这将促进奖励方式之间的目标导向决策,并提供反映影响特定选项吸引力的内部状态变化的指标。我们在此报告了一种高通量的经济选择程序,其中松鼠猴在短暂的阿片类药物瑞芬太尼和美味的食物奖励之间进行选择。触摸屏上的刺激物通过改变奖励特定元素的数量来指示每种奖励类型的数量。瑞芬太尼的快速清除避免了药物累积的混杂水平,并允许进行大量试验,每种奖励方式的提供范围广泛。在一个会话中使用一个包含每个奖励类型多个值的单一指标,可以使用逻辑回归来估计无差异值。该无差异值对每个奖励域内的奖励贬值敏感,因此是确定奖励偏好变化的有用指标,如饱食和药物治疗方法所示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e48/9117236/802d32e6e0f9/41386_2021_996_Fig1_HTML.jpg

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