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Although widely used to assess demand, drug expectancies are rarely accounted for and may introduce variability across participants given diverse drug experiences.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Objectives<\/jats:title>\n                <jats:p>Three experiments validated and extended previous hypothetical purchase tasks by using blinded drug dose as a reinforcing stimulus, and determined hypothetical demand for experienced effects while controlling for drug expectancies.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>Across three double-blind, placebo-controlled, within-subject experiments, cocaine (0, 125, 250 mg\/70 kg; <jats:italic>n<\/jats:italic>=12), methamphetamine (0, 20, 40 mg; <jats:italic>n<\/jats:italic>=19), and alcohol (0, 1 g\/kg alcohol; <jats:italic>n<\/jats:italic>=25) were administered and demand was assessed using the Blinded-Dose Purchase Task. Participants answered questions regarding simulated purchasing of the blinded drug dose across increasing prices. Demand metrics, subjective effects, and self-reported real-world monetary spending on drugs were evaluated.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Data were well modeled by the demand curve function, with significantly higher intensity (purchasing at low prices) for active drug doses compared to placebo for all experiments. Unit-price analyses revealed more persistent consumption across prices (lower <jats:italic>\u03b1<\/jats:italic>) in the higher compared to lower active dose condition for methamphetamine (a similar non-significant finding emerged for cocaine). Significant associations between demand metrics, peak subjective effects, and real-world spending on drugs also emerged across all experiments.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Orderly demand curve data revealed differences across drug and placebo conditions, and relations to real-world measures of drug spending, and subjective effects. Unit-price analyses enabled parsimonious comparisons across doses. Results lend credence to the validity of the Blinded-Dose Purchase Task, which allows for control of drug expectancies.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00213-023-06334-6","type":"journal-article","created":{"date-parts":[[2023,3,4]],"date-time":"2023-03-04T03:02:37Z","timestamp":1677898957000},"page":"921-933","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["The Blinded-Dose Purchase Task: assessing hypothetical demand based on cocaine, methamphetamine, and alcohol administration"],"prefix":"10.1007","volume":"240","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5526-7437","authenticated-orcid":false,"given":"Meredith S.","family":"Berry","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9772-9313","authenticated-orcid":false,"given":"Gideon P.","family":"Naud\u00e9","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3970-2531","authenticated-orcid":false,"given":"Patrick S.","family":"Johnson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7068-0513","authenticated-orcid":false,"given":"Matthew W.","family":"Johnson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,3,4]]},"reference":[{"issue":"5","key":"6334_CR1","doi-asserted-by":"publisher","first-page":"817","DOI":"10.1111\/add.14865","volume":"115","author":"SF Acuff","year":"2020","unstructured":"Acuff SF, Amlung M, Dennhardt AA, MacKillop J, Murphy JG (2020) Experimental manipulations of behavioral economic demand for addictive commodities: a meta-analysis. 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