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Crowdsourcing Black Market Prices For Prescription Opioids

BACKGROUND: Prescription opioid diversion and abuse are major public health issues in the United States and internationally. Street prices of diverted prescription opioids can provide an indicator of drug availability, demand, and abuse potential, but these data can be difficult to collect. Crowdsou...

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Autores principales: Dasgupta, Nabarun, Freifeld, Clark, Brownstein, John S, Menone, Christopher Mark, Surratt, Hilary L, Poppish, Luke, Green, Jody L, Lavonas, Eric J, Dart, Richard C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3758048/
https://www.ncbi.nlm.nih.gov/pubmed/23956042
http://dx.doi.org/10.2196/jmir.2810
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author Dasgupta, Nabarun
Freifeld, Clark
Brownstein, John S
Menone, Christopher Mark
Surratt, Hilary L
Poppish, Luke
Green, Jody L
Lavonas, Eric J
Dart, Richard C
author_facet Dasgupta, Nabarun
Freifeld, Clark
Brownstein, John S
Menone, Christopher Mark
Surratt, Hilary L
Poppish, Luke
Green, Jody L
Lavonas, Eric J
Dart, Richard C
author_sort Dasgupta, Nabarun
collection PubMed
description BACKGROUND: Prescription opioid diversion and abuse are major public health issues in the United States and internationally. Street prices of diverted prescription opioids can provide an indicator of drug availability, demand, and abuse potential, but these data can be difficult to collect. Crowdsourcing is a rapid and cost-effective way to gather information about sales transactions. We sought to determine whether crowdsourcing can provide accurate measurements of the street price of diverted prescription opioid medications. OBJECTIVE: To assess the possibility of crowdsourcing black market drug price data by cross-validation with law enforcement officer reports. METHODS: Using a crowdsourcing research website (StreetRx), we solicited data about the price that site visitors paid for diverted prescription opioid analgesics during the first half of 2012. These results were compared with a survey of law enforcement officers in the Researched Abuse, Diversion, and Addiction-Related Surveillance (RADARS) System, and actual transaction prices on a “dark Internet” marketplace (Silk Road). Geometric means and 95% confidence intervals were calculated for comparing prices per milligram of drug in US dollars. In a secondary analysis, we compared prices per milligram of morphine equivalent using standard equianalgesic dosing conversions. RESULTS: A total of 954 price reports were obtained from crowdsourcing, 737 from law enforcement, and 147 from the online marketplace. Correlations between the 3 data sources were highly linear, with Spearman rho of 0.93 (P<.001) between crowdsourced and law enforcement, and 0.98 (P<.001) between crowdsourced and online marketplace. On StreetRx, the mean prices per milligram were US$3.29 hydromorphone, US$2.13 buprenorphine, US$1.57 oxymorphone, US$0.97 oxycodone, US$0.96 methadone, US$0.81 hydrocodone, US$0.52 morphine, and US$0.05 tramadol. The only significant difference between data sources was morphine, with a Drug Diversion price of US$0.67/mg (95% CI 0.59-0.75) and a Silk Road price of US$0.42/mg (95% CI 0.37-0.48). Street prices generally followed clinical equianalgesic potency. CONCLUSIONS: Crowdsourced data provide a valid estimate of the street price of diverted prescription opioids. The (ostensibly free) black market was able to accurately predict the relative pharmacologic potency of opioid molecules.
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spelling pubmed-37580482013-08-30 Crowdsourcing Black Market Prices For Prescription Opioids Dasgupta, Nabarun Freifeld, Clark Brownstein, John S Menone, Christopher Mark Surratt, Hilary L Poppish, Luke Green, Jody L Lavonas, Eric J Dart, Richard C J Med Internet Res Original Paper BACKGROUND: Prescription opioid diversion and abuse are major public health issues in the United States and internationally. Street prices of diverted prescription opioids can provide an indicator of drug availability, demand, and abuse potential, but these data can be difficult to collect. Crowdsourcing is a rapid and cost-effective way to gather information about sales transactions. We sought to determine whether crowdsourcing can provide accurate measurements of the street price of diverted prescription opioid medications. OBJECTIVE: To assess the possibility of crowdsourcing black market drug price data by cross-validation with law enforcement officer reports. METHODS: Using a crowdsourcing research website (StreetRx), we solicited data about the price that site visitors paid for diverted prescription opioid analgesics during the first half of 2012. These results were compared with a survey of law enforcement officers in the Researched Abuse, Diversion, and Addiction-Related Surveillance (RADARS) System, and actual transaction prices on a “dark Internet” marketplace (Silk Road). Geometric means and 95% confidence intervals were calculated for comparing prices per milligram of drug in US dollars. In a secondary analysis, we compared prices per milligram of morphine equivalent using standard equianalgesic dosing conversions. RESULTS: A total of 954 price reports were obtained from crowdsourcing, 737 from law enforcement, and 147 from the online marketplace. Correlations between the 3 data sources were highly linear, with Spearman rho of 0.93 (P<.001) between crowdsourced and law enforcement, and 0.98 (P<.001) between crowdsourced and online marketplace. On StreetRx, the mean prices per milligram were US$3.29 hydromorphone, US$2.13 buprenorphine, US$1.57 oxymorphone, US$0.97 oxycodone, US$0.96 methadone, US$0.81 hydrocodone, US$0.52 morphine, and US$0.05 tramadol. The only significant difference between data sources was morphine, with a Drug Diversion price of US$0.67/mg (95% CI 0.59-0.75) and a Silk Road price of US$0.42/mg (95% CI 0.37-0.48). Street prices generally followed clinical equianalgesic potency. CONCLUSIONS: Crowdsourced data provide a valid estimate of the street price of diverted prescription opioids. The (ostensibly free) black market was able to accurately predict the relative pharmacologic potency of opioid molecules. JMIR Publications Inc. 2013-08-16 /pmc/articles/PMC3758048/ /pubmed/23956042 http://dx.doi.org/10.2196/jmir.2810 Text en ©Nabarun Dasgupta, Clark Freifeld, John S Brownstein, Christopher Mark Menone, Hilary L Surratt, Luke Poppish, Jody L Green, Eric J Lavonas, Richard C Dart. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 16.08.2013. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Dasgupta, Nabarun
Freifeld, Clark
Brownstein, John S
Menone, Christopher Mark
Surratt, Hilary L
Poppish, Luke
Green, Jody L
Lavonas, Eric J
Dart, Richard C
Crowdsourcing Black Market Prices For Prescription Opioids
title Crowdsourcing Black Market Prices For Prescription Opioids
title_full Crowdsourcing Black Market Prices For Prescription Opioids
title_fullStr Crowdsourcing Black Market Prices For Prescription Opioids
title_full_unstemmed Crowdsourcing Black Market Prices For Prescription Opioids
title_short Crowdsourcing Black Market Prices For Prescription Opioids
title_sort crowdsourcing black market prices for prescription opioids
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3758048/
https://www.ncbi.nlm.nih.gov/pubmed/23956042
http://dx.doi.org/10.2196/jmir.2810
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