Distinguishing heroin abuse from codeine administration in the urine of Chinese people by UPLC-MS-MS.

Heroin is a highly addictive drug, and heroin abuse is considered to be a serious criminal act. The major metabolite of heroin, morphine, can usually be detected as evidence of heroin abuse. However, it is difficult to determine heroin use when morphine and codeine are both detected, because codeine use will also result in the presence of morphine in urine. Therefore, it is important to distinguish heroin abuse from codeine administration. In this study, urine samples from 21 volunteers with various ingestion patterns of a compound codeine phosphate oral solution were used as negative controls, and urine samples from 89 alleged heroin users were used as positive controls. Urine from single and multiple doses of codeine administration were collected at different time points for a systematic comparison. After protein precipitation, the urine samples were analyzed for the presence of free morphine, free codeine and their metabolites by ultra-performance liquid chromatography-tandem mass spectrometry. The method of percentiles, with median and standard interquartile ranges, was used to describe and analyze the data based on the normality of the distribution. The ratios of concentration of morphine and morphine to codeine were found to be the possible criteria to distinguish heroin users from codeine users in Chinese people.

[Comparison of morphine and codeine concentration in urines of heroin abusers and codeine users].

OBJECTIVE: To compare morphine and codeine concentration in urines of heroin abusers and codeine users and to discuss the judgment index to distinguish between heroin abuser and codeine user. METHODS: The urines of heroin abusers and codeine users were collected at different time periods. After protein precipitation, the urine samples were conducted for the qualitative and quantitative analysis of morphine and codeine by UPLC-MS/MS. And the results were all statistically analyzed. RESULTS: Statistical analysis showed that morphine and codeine concentration in urines of heroin abusers and codeine users were both abnormal distributions. The probability of the heroin abuser would be more than 95% and less than 5% for the codeine user when the concentration of morphine in urine sample was more than 67 ng/mL. The probability of the codeine user would be more than 95% and less than 5% for the heroin abuser when the concentration of morphine in urine sample was less than 67 ng/mL. CONCLUSION: The morphine concentration in urine could be used as a criterion to distinguish the heroin abuser from the codeine user, while the codeine concentration could not.