Opioids
Medical Examiner and Coroner Outsourcing Study: A Qualitative Study and Cost-Benefit Analysis
Things Are Not What They Seem: A Collection of Interesting Case Studies from the Medical Examiner Scene Queens
Non-Contact Detection Of Fentanyl And Other Synthetic Opioids
A Forward-Thinking Approach to Addressing the New Synthetic Opioid 2-Benzylbenzimidazole Nitazene Analogs by Liquid Chromatography-Tandem Quadrupole Mass Spectrometry (LC-QQQ-MS)
Aptamer-Integrated Multianalyte-Detecting Paper Electrochemical Device
Toxicological and Pharmacological Characterization of Novel Cinnamylpiperazine Synthetic Opioids in Humans and in Vitro Including 2-methyl AP-237 and AP-238
Metonitazene in the United States-Forensic toxicology assessment of a potent new synthetic opioid using liquid chromatography mass spectrometry
Opioid-like adverse effects of tianeptine in male rats and mice
Quantitation of Fentanyl and Metabolites from Blow Fly Tissue and Development Effects of Fentanyl on Lucilia Sericata
Face spoofing detection under super-realistic 3D wax face attacks
How Good Are the Data? Novel Metric Assesses Probability That an Unknown Drug Sample Matches a Known Sample
NIJ-funded researchers developed a novel metric to assess probability that an unknown sample of a drug matches a library sample, with profound implications for standardization of mass spectrometry results.
Phenethyl-4-ANPP: A Marginally Active Byproduct Suggesting a Switch in Illicit Fentanyl Synthesis Routes
Concentrations of Para-Fluorofuranylfentanyl in Paired Central and Peripheral Blood Collected during Postmortem Death Investigations
Platinum-Nanoparticle-Modified Single-Walled Carbon Nanotube-Laden Paper Electrodes for Electrocatalytic Oxidation of Methanol
Covalent Surface Modification of Ti3C2Tx MXene with Chemically Active Polymeric Ligands Producing Highly Conductive and Ordered Microstructure Films
Detecting Opioid Distribution Networks Using Network Modeling and Community-Based Intelligence
Illicit opioid supplies can be greatly reduced if distribution networks are disrupted. New research highlights the power of computer modeling and community-based intelligence to reveal network connections.