Abstract:Cocaine use disorders are an unrelenting public health concern. Behavioral treatments reduce cocaine use by providing non-drug alternative reinforcers. The purpose of this human laboratory experiment was to determine how response cost for non-drug alternative reinforcers influenced cocaine choice. Seven cocaine-using, non-treatment-seeking subjects completed a crossover, double-blind protocol in which they first sampled doses of intranasal cocaine (5, 10, 20 or 30 mg) and completed a battery of subject-rated a… Show more
“…As expected, manipulations in the response requirement that increased the relative price of cocaine injections vs food pellets significantly decreased cocaine choice, whereas response requirement manipulations that decreased the relative price of cocaine injections vs food pellets significantly increased cocaine choice. These results are consistent with previous nonhuman primate (Czoty et al, 2005;Nader et al, 1992;Negus, 2003;Woolverton et al, 1997) and human laboratory (Greenwald and Hursh, 2006;Stoops et al, 2012) studies examining the behavioral determinants of drug choice. Moreover, our preclinical results may be analogous to epidemiological evidence for the price sensitivity of drug consumption, which provides a rationale for both governmental policies and more targeted contingency management strategies designed to reduce drug consumption by increasing drug price or facilitating access to nondrug alternatives (Dunlop et al, 2011;Grossman, 2005;Xu and Chaloupka, 2011).…”
Section: Baseline Cocaine Choice and Effects Of Fr Manipulationssupporting
confidence: 91%
“…Furthermore, both preclinical and human laboratory studies have demonstrated that cocaine choice is sensitive to manipulations in the response requirement associated with cocaine or the alternative reinforcer. For example, increases in the response requirement for cocaine or decreases in the response requirement for an alternative reinforcer can reduce cocaine choice and increase choice of the alternative (Hart et al, 2000;Nader and Woolverton, 1992;Negus, 2003;Stoops et al, 2012). Reciprocally, increases in the response requirement for the alternative reinforcer or decreases in the response requirement for cocaine can increase cocaine choice and reduce choices for the alternative (Hart et al, 2000;Nader et al, 1992;Negus, 2003).…”
Behavioral and pharmacotherapeutic approaches constitute two prominent strategies for treating cocaine dependence. This study investigated interactions between behavioral and pharmacological strategies in a preclinical model of cocaine vs food choice. Six rhesus monkeys, implanted with a chronic indwelling double-lumen venous catheter, initially responded under a concurrent schedule of food delivery (1-g pellets, fixed-ratio (FR) 100 schedule) and cocaine injections (0-0.1 mg/kg/injection, FR 10 schedule) during continuous 7-day treatment periods with saline or the agonist medication phenmetrazine (0.032-0.1 mg/kg/h). Subsequently, the FR response requirement for cocaine or food was varied (food, FR 100; cocaine, FR 1-100; cocaine, FR 10; food, FR 10-300), and effects of phenmetrazine on cocaine vs food choice were redetermined. Decreases in the cocaine FR or increases in the food FR resulted in leftward shifts in the cocaine choice dose-effect curve, whereas increases in the cocaine FR or decreases in the food FR resulted in rightward shifts in the cocaine choice dose-effect curve. The efficacy of phenmetrazine to decrease cocaine choice varied systematically as a function of the prevailing response requirements, such that phenmetrazine efficacy was greatest when cocaine choice was maintained by relatively low unit cocaine doses. These results suggest that efficacy of pharmacotherapies to modulate cocaine use can be influenced by behavioral contingencies of cocaine availability. Agonist medications may be most effective under contingencies that engender choice of relatively low cocaine doses.
“…As expected, manipulations in the response requirement that increased the relative price of cocaine injections vs food pellets significantly decreased cocaine choice, whereas response requirement manipulations that decreased the relative price of cocaine injections vs food pellets significantly increased cocaine choice. These results are consistent with previous nonhuman primate (Czoty et al, 2005;Nader et al, 1992;Negus, 2003;Woolverton et al, 1997) and human laboratory (Greenwald and Hursh, 2006;Stoops et al, 2012) studies examining the behavioral determinants of drug choice. Moreover, our preclinical results may be analogous to epidemiological evidence for the price sensitivity of drug consumption, which provides a rationale for both governmental policies and more targeted contingency management strategies designed to reduce drug consumption by increasing drug price or facilitating access to nondrug alternatives (Dunlop et al, 2011;Grossman, 2005;Xu and Chaloupka, 2011).…”
Section: Baseline Cocaine Choice and Effects Of Fr Manipulationssupporting
confidence: 91%
“…Furthermore, both preclinical and human laboratory studies have demonstrated that cocaine choice is sensitive to manipulations in the response requirement associated with cocaine or the alternative reinforcer. For example, increases in the response requirement for cocaine or decreases in the response requirement for an alternative reinforcer can reduce cocaine choice and increase choice of the alternative (Hart et al, 2000;Nader and Woolverton, 1992;Negus, 2003;Stoops et al, 2012). Reciprocally, increases in the response requirement for the alternative reinforcer or decreases in the response requirement for cocaine can increase cocaine choice and reduce choices for the alternative (Hart et al, 2000;Nader et al, 1992;Negus, 2003).…”
Behavioral and pharmacotherapeutic approaches constitute two prominent strategies for treating cocaine dependence. This study investigated interactions between behavioral and pharmacological strategies in a preclinical model of cocaine vs food choice. Six rhesus monkeys, implanted with a chronic indwelling double-lumen venous catheter, initially responded under a concurrent schedule of food delivery (1-g pellets, fixed-ratio (FR) 100 schedule) and cocaine injections (0-0.1 mg/kg/injection, FR 10 schedule) during continuous 7-day treatment periods with saline or the agonist medication phenmetrazine (0.032-0.1 mg/kg/h). Subsequently, the FR response requirement for cocaine or food was varied (food, FR 100; cocaine, FR 1-100; cocaine, FR 10; food, FR 10-300), and effects of phenmetrazine on cocaine vs food choice were redetermined. Decreases in the cocaine FR or increases in the food FR resulted in leftward shifts in the cocaine choice dose-effect curve, whereas increases in the cocaine FR or decreases in the food FR resulted in rightward shifts in the cocaine choice dose-effect curve. The efficacy of phenmetrazine to decrease cocaine choice varied systematically as a function of the prevailing response requirements, such that phenmetrazine efficacy was greatest when cocaine choice was maintained by relatively low unit cocaine doses. These results suggest that efficacy of pharmacotherapies to modulate cocaine use can be influenced by behavioral contingencies of cocaine availability. Agonist medications may be most effective under contingencies that engender choice of relatively low cocaine doses.
“…Previous human laboratory (Stoops et al, 2012) and preclinical studies (Nader and Woolverton, 1992;Negus, 2003) have demonstrated cocaine vs alternative reinforcer choice to be sensitive to response requirement manipulations. Recently, methamphetamine vs money choice in humans was also reported to be sensitive to response requirement manipulations such that a sixfold larger response requirement for money slightly, but not significantly, increased the number of methamphetamine capsules earned .…”
Section: Baseline Methamphetamine Choice and Effects Of Environmentalmentioning
Preclinical and human laboratory choice procedures have been invaluable in improving our knowledge of the neurobiological mechanisms of drug reinforcement and in the drug development process for candidate medications to treat drug addiction. However, little is known about the neuropharmacological mechanisms of methamphetamine vs food choice. The aims of this study were to develop a methamphetamine vs food choice procedure and determine treatment effects with two clinically relevant compounds: the monoamine uptake inhibitor bupropion and the dopamine antagonist risperidone. Rhesus monkeys (n=6) responded under a concurrent schedule of food delivery (1-g pellets, fixed-ratio (FR) 100 schedule) and intravenous methamphetamine injections (0-0.32 mg/kg/injection, FR10 schedule) during 7-day bupropion (0.32-1.8 mg/kg/h) and risperidone (0.001-0.0056 mg/kg/h) treatment periods. For comparison, effects of removing food pellets or methamphetamine injections and FR response requirement manipulations were also examined. Under saline treatment conditions, food was preferred over no methamphetamine or small unit methamphetamine doses (0.01-0.032 mg/kg/injection). Larger methamphetamine doses resulted in greater methamphetamine preference and 0.32 mg/kg/injection methamphetamine maintained near exclusive preference. Removing food availability increased methamphetamine choice, whereas removing methamphetamine availability decreased methamphetamine choice. Methamphetamine choice was not significantly altered when the FR response requirements for food and drug were the same (FR100:FR100 or FR10:FR10). Risperidone treatment increased methamphetamine choice, whereas bupropion treatment did not alter methamphetamine choice up to doses that decreased rates of operant behavior. Overall, these negative results with bupropion and risperidone are concordant with previous human laboratory and clinical trials and support the potential validity of this preclinical methamphetamine vs food choice model.
“…Variables that impact choice can be examined experimentally in preclinical research using a variety of procedures (see reviews by Bergman and Paronis, 2006;Banks and Negus, 2012). For example, increasing the cost of drug or decreasing the cost of alternative nondrug reinforcers reduces drug taking in human (Stoops et al, 2012) and nonhuman primates (Nader and Woolverton, 1992;Negus, 2003). In addition to altering cost, changing other parameters of reinforcement can also significantly affect drug taking, such as increasing the time between a response and delivery of a reinforcer.…”
Drug abuse can be conceptualized as excessive choice of drug over other reinforcers, and factors that affect drug taking can be examined experimentally using choice procedures. This study examined the impact of reinforcer delay on self-administration of the m-opioid receptor agonist remifentanil in rhesus monkeys (n 5 4) lever pressing under a concurrent fixed-ratio 30 schedule. Responding on either lever delivered an intravenous infusion of either remifentanil or saline. Dose-effect curves were first determined when responding on one lever delivered remifentanil and responding on a second lever delivered saline. Monkeys then chose between two doses of remifentanil, and delay to delivery of the large dose was varied systematically. Responding for remifentanil (0.01-1.0 mg/kg/infusion) increased dose-dependently when the alternative was saline or a dose of remifentanil. Delaying delivery of the large dose of remifentanil by 30, 60, 120, or 240 seconds increased responding for smaller, immediately available doses (0.01-0.1 mg/kg/infusion) and, in some cases, increased responding for doses of remifentanil that did not maintain responding when the alternative was saline. These data demonstrate that delaying the delivery of an opioid receptor agonist can significantly affect its reinforcing effectiveness. The imposition of a delay reduces the effectiveness of large doses of drug to maintain responding and increases the effectiveness of immediately available commodities, including smaller doses of drug. Increased reinforcing effectiveness of smaller doses of drug in the context of other delayed reinforcers might contribute to the development and maintenance of opioid abuse.
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