Phencyclidine values

Previously popular but of unproved value, forced diuresis may cause volume overload and electrolyte abnormalities and is not recommended. Renal elimination of a few toxins can be enhanced by alteration of urinary pH. For example, urinary alkalinization is useful in cases of salicylate overdose. Acidification may increase the urine concentration of drugs such as phencyclidine and amphetamines but is not advised because it may worsen renal complications from rhabdomyolysis, which often accompanies the intoxication. 

The dose rates associated with the phencyclidine derivatives require the sensitive methods of determination which immunology and chromatography provide. The immunological reagents marketed for the determination of phencyclidine can determine phencyclidine (PCP) itself with the highest sensitivity, followed by the thienyl derivatives and the N-alkylamines. Some important cut-off values of immunological tests are listed in Table 8-18. 

Table 8-18, Cut-off values of some phencyclidine derivatives in urine...

Various alkaloids prepared in methanol were separated on KCig reversed-phase layers in a methanol-0.5 M NaCl (65 35) mobile phase (Whatman, TLC Technical Series, Volume 1). Spots were detected with the iodoplatinate reagent diluted with ethanol (2 1) just prior to use. The values of the separated alkaloids were as follows Valium, 0.16 methadone, 0.27 quinine, 0.37 phencyclidine, 0.49 meperidine, 0.52 Talwin, 0.57 cocaine, 0.58 codeine, 0.72 and morphine, 0.72. 

Certified concentration The certified values and uncertainties for the analytes, as free bases, are calculated and given in the table below. For benzoylecgonine, morphine, codeine, and phencyclidine, GC/MS and LC/MS data were used and the uncertainty is a 95% confidence interval for the mean. For the THC-9-COOH, the mean concentration was computed from GC/MS and GC/MS/MS measurements taken at NIST and the uncertainty is also a 95% confidence interval for the mean. However, this confidence interval also includes variability observed between NIST and five military labs which had been used to demonstrate the suitability of the material. It is assumed that systematic errors are very small compared to random errors. 

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