The National Forensic Laboratory Information System (NFLIS) is a drug surveillance program of the US Drug Enforcement Administration that systematically collects data on drugs that are seized by law enforcement and submitted to and analyzed by the Nation's forensic laboratories (NFLIS‐Drug). NFLIS‐Drug data are increasingly used in predictive modeling and drug surveillance to examine drug availability patterns. Given the complexity of the data and data collection, there are some common methodological pitfalls that we highlight with the aim of helping researchers avoid these concerns. The analysis done for this Technical Note is based on a review of the scientific literature that includes 428 unique, refereed article citations in 182 distinct journals published between January 1, 2005, and April 30, 2021. Each article was analyzed according to how NFLIS‐Drug data were mentioned and whether NFLIS‐Drug data were included. A sample of 37 articles was studied in‐depth, and data issues were summarized. Using examples from the literature, this Technical Note highlights eight broad concerns that have important implications for the proper applications, interpretations, and limitations of NFLIS‐Drug data with suggestions for improving research methods and accurate reporting of forensic drug data. NFLIS‐Drug data are timely and provide key information to inform drug use trends across the United States; however, our present analysis shows that NFLIS‐Drug data are misunderstood and represented in the literature. In addition to highlighting these issues, DEA has created several resources to assist NFLIS data users and researchers, which are summarized in the discussion.
In 2007, the Bureau of Justice Statistics reported on 2004 data collected from the Census of Medical Examiner and Coroner Offices (CMEC). The CMEC was one of the first comprehensive reports on the state of the medicolegal death investigation system in the United States and included information on administration, expenditure, workload, specialized death investigations, records and evidence retention, and resources. However, the report did not include responses on questions that were related to toxicology such as specimen retention and type of testing. The purpose of this publication is to provide the community with toxicology laboratory‐specific responses from nearly 2000 medical examiner and coroner (MEC) offices. Data obtained from a BJS CMEC public use dataset for any remaining information that was not reported in the 2007 BJS report were evaluated specific to the operation of toxicology laboratories within a MEC office or specific to toxicology testing. The CMEC includes information on average operating budget for MEC offices with internal or external toxicology services, budget for toxicology/microbiology services, respondents’ routine uses of toxicology analysis, toxicology specimen retention time, average turnaround times, use of computerized information management systems, and participation in federal data collections. These historical data begin to address the present state of our nation’s toxicology laboratories within the medicolegal death investigation system and their preparedness for the current drug overdose epidemic.
The National Forensic Laboratory Information System (NFLIS) is a program of the U.S. Drug Enforcement Administration, Diversion Control Division. The NFLIS-Drug component collects drug identification results and associated information from drug cases submitted to and analyzed by federal, state, and local forensic laboratories. This paper presents national annual estimates and national and regional yearly trend differences for clonazepam, diazepam, flubromazolam, clonazolam, and etizolam using annual report rates per 100,000 persons aged 15 or older between 2015 and 2018. An estimated 263,538 benzodiazepine reports were identified by state and local laboratories between 2015 and 2018. Methamphetamine, cocaine, and heroin accounted for 32% of the drugs reported in the same item as alprazolam. Depressants and tranquilizers and narcotic analgesics were the drug classes most frequently identified in the same item as etizolam. A timeline of some benzodiazepines’ emergence in NFLIS-Drug is shown, as well as state- and county-level data for selected benzodiazepines.
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