A computationally supported designer benzodiazepine strategy for public toxicology laboratories

Abstract

Public laboratories must balance innovative and existing methods to keep up with designer drug trends. This article presents a strategy for handling designer benzodiazepines (DBZDs) in casework from screening to interpretation. The cross-reactivity of 22 DBZDs and metabolites was tested against the Immunalysis™ Benzodiazepine Direct Enzyme-Linked Immunosorbent Assay kit. The kit had high intra-analyte precision (coefficients of variation < 15%). Inter-analyte performance varied, triggering confirmation testing at concentrations ranging from 35 to 460 μg/L. The CCRFSL implemented a 40-analyte benzodiazepine and Z-drug confirmation method in 2019. Ten additional analytes were later validated for qualitative reporting, and the limits of detection (LODs) for 13 analytes were lowered by 60%. The method of standard addition was also optimized for as-needed quantitation. Equal and 1/x weighting factors correlated well with target concentrations (coefficients of determination (r2) > 0.98), but 1/x weighting provided the most consistently accurate concentrations. Six computational models were developed to predict DBZD binding affinity to the γ-aminobutyric acid-A receptor to assist in case interpretation (r2 > 0.7 for cross-validation and test set prediction). These models were used to predict the binding affinity of analytes in the confirmation method. Other public laboratories can use this same practical strategy to adapt to any designer drug class (e.g., benzodiazepines, opioids, cannabinoids, and stimulants).