Case study: Identification and characterization of N-[2-(dimethylamino)cyclohexyl]-N-methylnaphthalene-2-carboxamide, a regioisomer of the synthetic opioid U10

In vitro μ-opioid receptor activation potential of U10 and β-U10, positional isomers of the synthetic opioid naphthyl U-47700

New synthetic opioids (NSOs) with diverse chemical structures continue to appear on recreational drug markets worldwide. U-type opioids have become one of the largest groups of non-fentanyl-related NSOs. Starting in 2020, a previously unreported U-compound coined "β-U10" (2-naphthyl U-47700; N-[2-(dimethylamino)cyclohexyl]-N-methylnaphthalene-2-carboxamide) was identified in Australia and the United States. β-U10 is a positional isomer of α-U10 (1-naphthyl U-47700), more commonly known as "U10." Here, the first comparative in vitro pharmacological characterization of naphthyl U-47700 (U10 and β-U10), together with the structural analogue U-47700 and fentanyl, is reported. Application of a cell-based μ-opioid receptor (MOR) activation (β-arrestin 2 recruitment) assay demonstrated β-U10 (EC50  = 348 nM; Emax  = 150% vs. hydromorphone) to be less potent than U-47700 (EC50  = 116 nM; Emax  = 154%) and fentanyl (EC50  = 9.35 nM; Emax  = 146%) but considerably more active than the α-isomer (EC50 value in the μM range). For the latter, maximum receptor activation could not be reached at 100 μM. The difference in MOR activation potential for U10 and β-U10 stresses the importance of (analytical) differentiation between closely related analytes. The emergence of β-U10 on the recreational drug market is an example of the continuing emergence of non-fentanyl-related NSOs and further emphasizes the need to closely monitor fluctuations in the drug supply.

Trace Residue Identification, Characterization and Longitudinal Monitoring of the Novel Synthetic Opioid β-U10, from Discarded Drug Paraphernalia

Empirical data regarding dynamic alterations in illicit drug supply markets in response to the COVID-19 pandemic, including the potential for introduction of novel drug substances and/or increased poly-drug combination use at the 'street' level, i.e., directly proximal to the point of consumption, is currently lacking. Here, a high-throughput strategy employing ambient ionization-mass spectrometry is described for the trace residue identification, characterization and longitudinal monitoring of illicit drug substances found within >6,600 discarded drug paraphernalia (DDP) samples collected during a pilot study of an early warning system for illicit drug use in Melbourne, Australia from August 2020-February 2021, while significant COVID-19 lockdown conditions were imposed. The utility of this approach is demonstrated for the de novo identification and structural characterization of β-U10, a previously unreported naphthamide analogue within the 'U-series' of synthetic opioid drugs, including differentiation from its α-U10 isomer without need for sample preparation or chromatographic separation prior to analysis. Notably, β-U10 was observed with 23 other drug substances, most commonly in temporally distinct clusters with heroin, etizolam and diphenhydramine, and in a total of 182 different poly-drug combinations. Longitudinal monitoring of the number and weekly 'average signal intensity' (ASI) values of identified substances, developed here as a semi-quantitative proxy indicator of changes in availability, relative purity and compositions of street level drug samples, revealed that increases in the number of identifications and ASI for β-U10 and etizolam coincided with a 50% decrease in the number of positive detections and an order of magnitude decrease in the ASI for heroin.

Spectral trends in GC-EI-MS data obtained from the SWGDRUG mass spectral library and literature: A resource for the identification of unknown compounds

Rapid identification of new or emerging psychoactive substances remains a critical challenge in forensic drug chemistry laboratories. Current analytical protocols are well-designed for confirmation of known substances yet struggle when new compounds are encountered. Many laboratories initially attempt to classify new compounds using gas chromatography-electron ionization-mass spectrometry (GC-EI-MS). Though there is a large body of research focused on the analysis of illicit substances with GC-EI-MS, there is little high-level discussion of mass spectral trends for different classes of drugs. This manuscript compiles literature information and performs simple exploratory analyses on evaluated GC-EI-MS data to investigate mass spectral trends for illicit substance classes. Additionally, this work offers other important aspects: brief discussions of how each class of drugs is used; illustrations of EI mass spectra with proposed structures of commonly observed ions; and summaries of mass spectral trends that can help an analyst classify new illicit compounds.