Author ORCID Identifier
Elizabeth Griffiths 0009-0004-8916-1982
Kay Levine 0000-0002-9422-232X
Joshua Hinkle 0000-0003-3601-6330
Document Type
Article
Publication Date
2025
Keywords
Search warrants, Drug enforcement, Investigative effort, Drug yield
Abstract
In this study, we investigated the extent to which law enforcement efforts predicted drug and other kinds of illicit yield in search warrant executions. The data are drawn from one major metropolitan police department during 2005, 2009, and 2012. Using multilevel random intercept logistic regression models and multilevel random intercept multinomial logistic regression models, we regress high yields of various kinds of drugs and other illicit items seized during searches on the investigative activities that led to search warrant applications and the enlistment of teams of officers or other agencies in executing the search. Investments in high-effort search warrant work should generate higher yields than would be possible using less intensive law enforcement endeavors; yet our findings show that neither high-effort investigative activities, such as surveillance or controlled buys, nor the mobilization of specialized teams or agencies actually predict drug yield, even when search warrants lead to at least one felony drug arrest. This pattern raises questions about the efficacy of high-effort law enforcement activities and the costs, both financial and symbolic, of drug-related search warrant applications and executions. We discuss these findings in the context of police resources and inefficiencies associated with search warrant activity.
First Page
1
Publication Title
Journal of Criminal Justice
Recommended Citation
Elizabeth Griffiths, Walter Campbell, Kay L. Levine, and Joshua C. Hinkle, Searching for a Big Score: Analyzing Drug Yield from Search Warrant Executions, 97 J. Crim. Just. 1 (2025).
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Constitutional Law Commons, Criminal Law Commons, Criminal Procedure Commons, Law Enforcement and Corrections Commons, Social Control, Law, Crime, and Deviance Commons

Comments
© 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license.