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Measuring Delay Discounting in Humans Using an Adjusting Amount Task

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Behavioral economic analysis of drug preference using multiple choice procedure data.

Mark K Greenwald¹

¹Substance Abuse Research Division, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA. mgreen@med.wayne.edu

Drug and Alcohol Dependence

|October 24, 2007

Summary

The multiple choice procedure (MCP) effectively models drug demand, translating individual preferences into population-level estimates. This behavioral economic analysis aids in assessing drug abuse liability and treatment efficacy.

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Published on: August 20, 2010

Area of Science:

Behavioral Economics
Psychopharmacology
Addiction Science

Background:

The multiple choice procedure (MCP) is used to assess human preference for psychoactive drugs versus monetary compensation.
Previous analyses suggest MCP data align with behavioral economic principles of drug choice.

Purpose of the Study:

To re-analyze multiple choice procedure (MCP) data using behavioral economic principles.
To construct demand curves for various drugs and assess their inelasticity.
To evaluate the utility of MCP in estimating population drug demand and informing addiction research.

Main Methods:

Demand curves were generated by plotting unit price against average percent drug choice in log-log space.
Data were derived from studies involving opioids (fentanyl, hydromorphone, methadone), psychostimulants (d-amphetamine, MDMA), and marijuana.
Unit price was calculated by dividing the monetary value by the drug dose (mg/70kg).

Main Results:

Opioid inelasticity ranked: fentanyl > hydromorphone (continuing users) > methadone > hydromorphone (abstainers).
Psychostimulant inelasticity ranked: d-amphetamine > MDMA > MDMA + fluoxetine.
Smoked marijuana showed increased inelasticity with high-dose naltrexone pretreatment.

Conclusions:

The multiple choice procedure (MCP) provides a valid method for estimating population drug demand from individual preferences.
Findings support the use of MCP in evaluating pharmacotherapy efficacy and drug abuse liability.
This approach offers insights into individual susceptibility to drug abuse.