Objective To study the metabolic transformation pathways of 4F-MDMB-BUTINACA in vivo by establishing zebrafish models. Methods Six adult zebrafish were randomly divided into blank control group and experimental group, with three fish in each group. After the zebrafish in the experimental group were exposed to 1 μg/mL 4F-MDMB-BUTINACA for 24 h, they were transferred to clean water and cleaned three times, then pretreated for instrumental analysis. The zebrafish in blank control group were not exposed to 4F-MDMB-BUTINACA. Mass spectrometry and structural analysis of 4F-MDMB-BUTINACA and its metabolites were conducted by liquid chromatography-high resolution mass spectrometry and Mass Frontier software. Results A total of twenty-six metabolites of 4F-MDMB-BUTINACA were identified in zebrafish, including eighteen phase Ⅰ metabolites and eight phase Ⅱ metabolites. The main metabolic pathways of phase Ⅰ metabolites of 4F-MDMB-BUTINACA in zebrafish were ester hydrolysis, N-dealkylation, oxidative defluorination and hydroxylation, while the main metabolic pathway of phase Ⅱ metabolites was glucuronidation. Conclusion Metabolite Md24 （ester hydrolysis） and Md25 （ester hydrolysis combined with dehydrogenation） would be recommended to be potentially good biomarkers for abuse of 4F-MDMB-BUTINACA.
Animals ; Cannabinoids ; Chromatography, Liquid ; Illicit Drugs ; Microsomes, Liver/chemistry* ; Zebrafish

Synthetic cathinones are a class of new psychoactive substances with a structure similar to amphetamine drugs, which can produce excitatory effects similar to drugs such as amphetamine and cocaine after being taken. In recent years, the abuse of synthetic cathinones worldwide has become increasingly serious, posing a serious threat to social security and public health. This article focuses on several common synthetic cathinones, collects their research results in animal autonomous activity experiments and drug dependence model experiments and summarizes their relevant experimental conclusions in animal body temperature regulation, learning and memory, and anxiety, in order to provide data reference and method guidance for the domestic development of related drug research.
Alkaloids/pharmacology* ; Amphetamine ; Animals ; Behavior, Animal ; Illicit Drugs

In recent years, as the third-generation of drugs, new psychoactive substances （NPS） have expanded rapidly and become a serious concern for China's anti-drug prevention and control system. As a new drug monitoring technology in the current anti-drug field, wastewater analysis is an objective, real-time, accurate, convenient and effective drug monitoring method. In recent years, it has gradually been applied to the monitoring of NPS. This study summarizes wastewater sample collection, target stability research, wastewater sample pretreatment, wastewater sample analysis methods, target NPS consumption calculations and actual monitoring applications, with a view to the construction of a monitoring system for NPS in wastewater, real-time and accurate grasp of information on the use of NPS in cities, the reflection of the actual consumption of different types of NPS and consumption trends in a short period of time, and prediction of the development trend of abused use, which is of great significance for combating NPS crimes, serving and guaranteeing the personal safety of the people, and maintaining social stability.
China ; Cities ; Illicit Drugs/analysis* ; Psychotropic Drugs/analysis* ; Wastewater/analysis* ; Water Pollutants, Chemical/analysis*

Objective To establish a method that combines a series of techniques including Fourier transform infrared spectrum （FTIR）, gas chromatography-mass spectrometry （GC-MS）, high resolution mass spectrometry and nuclear magnetic resonance spectroscopy （NMR） for identification of unknown substances. Methods The unknown samples （off-white powder and yellow crystal） seized in the actual cases were detected by FTIR, GC-MS （methanol as solvent）, high resolution mass spectrometry （methanol as solvent） and NMR （deuterated methanol as solvent）. Results The mass spectrum characteristic ions m/z of the main components in the samples measured by GC-MS were 219 （base peak）, 363, 307, 304, 275, 145, 131 and 213 （base peak）, 357, 301, 298, 269, 185, 171, 145 and 131, respectively. The accurate mass numbers [M+H]⁺ measured by high resolution mass spectrometry were 364.203 61 and 358.212 34, respectively. The unknown samples were identified as synthetic cannabinoid new psychoactive substances 4F-MDMB-BUTINACA and MDMB-4en-PINACA after data consultation and database retrieval and comparison, combined with infrared analysis and mass spectrometry data analysis, and their structures were confirmed by ¹H-NMR. Conclusion The established multi-technology joint identification method can be used to identify 4F-MDMB-BUTINACA and MDMB-4en-PINACA in unknown samples. This method is fast, convenient, accurate, reliable and practical, and can provide reference for the identification of cases involving such substances in the future.
Cannabinoids ; Gas Chromatography-Mass Spectrometry ; Illicit Drugs ; Magnetic Resonance Spectroscopy ; Mass Spectrometry

Drug problem is a major social and public security problem in the world. Drug abuse poses a great threat to economic development, social stability and public health. In recent years, synthetic drugs represented by methamphetamine have surpassed traditional drugs such as morphine, heroin, ketamine and become one of the most abused drugs in the world. In order to solve the problem of drug abuse, it is of great theoretical value and practical significance to carry out all-round and multi-level scientific research on drug-related issues. Based on the current situation of drug abuse, this article reviews research progresses on the epidemiology of methamphetamine abuse, the monitoring technology, the basic researches on toxicity damage, the withdrawal drug screening, the related clinical comorbidity and the testing technologies, comprehensively presenting the development trend of methamphetamine abuse related issues.
Amphetamine-Related Disorders/epidemiology* ; Heroin ; Humans ; Illicit Drugs ; Methamphetamine/adverse effects* ; Substance Abuse Detection

Objective: To explore the factors associated with illicit drug use (IDU) intention in secondary vocational school students based on theory of triadic influence (TTI), and provide theoretical foundation for IDU prevention education. Methods: A total of 8 870 students were selected from secondary vocational schools in 5 cities in China through multistage cluster sampling. A self-administered questionnaire was used to collect the information about students' sensation seeking (SS), parental monitoring (PM), perceived availability of drug (PAD), social benefit expectancies(SBE), refusal efficacy (RE) and social norms and IDU intention. Based on the TTI, the logistic regression model was used to analyze the factors associated with IDU. Results: Among the intrapersonal stream of influence, the higher levels of SS was the risk factor associated with IDU (OR=1.71, 95%CI: 1.22-2.41, P<0.01), medium RE level (OR=0.18, 95%CI: 0.14-0.23, P<0.001) and high RE level (OR=0.17, 95%CI: 0.13-0.22, P<0.001) were the protective factors for IDU intention. Among the interpersonal stream of influence, medium PM level (OR=0.46, 95%CI: 0.37- 0.56, P<0.001) and high PM level (OR=0.33, 95%CI: 0.24-0.46, P<0.001) were the protective factors for IDU intention, perceived others' drug use as well as perceived others' approval of substance use were risk factors for IDU intentions (P<0.001); Among sociocultural environmental stream of influence, perceived easy availability of drugs (OR=3.47, 95%CI: 2.69-4.48, P<0.001) and perceived SBE of drugs (OR=2.04, 95%CI: 1.69-2.46, P<0.001) were risk factors for IDU intentions (P<0.001). Conclusions: High levels of SS and SBE, perceived easier availability of substance, perceived others' substance use and perceived others' approval of substance use positively predict the students' intention of IDU. IDU prevention education for adolescents should be focused on the above factors, and parental supervision and students' refuse skills should be improved.
Adolescent ; China ; Female ; Humans ; Illicit Drugs/adverse effects* ; Intention ; Male ; Students/statistics & numerical data*

In recent years, the types and quantities of fentanyl analogs have increased rapidly. It has become a hotspot in the illicit drug control field of how to quickly identify novel fentanyl analogs and to shorten the blank regulatory period. At present, the identification methods of fentanyl analogs that have been developed mostly rely on reference materials to target fentanyl analogs or their metabolites with known chemical structures, but these methods face challenges when analyzing new compounds with unknown structures. In recent years, emerging machine learning technology can quickly and automatically extract valuable features from massive data, which provides inspiration for the non-targeted screening of fentanyl analogs. For example, the wide application of instruments like Raman spectroscopy, nuclear magnetic resonance spectroscopy, high resolution mass spectrometry, and other instruments can maximize the mining of the characteristic data related to fentanyl analogs in samples. Combining this data with an appropriate machine learning model, researchers may create a variety of high-performance non-targeted fentanyl identification methods. This paper reviews the recent research on the application of machine learning assisted non-targeted screening strategy for the identification of fentanyl analogs, and looks forward to the future development trend in this field.
Fentanyl ; Substance Abuse Detection/methods* ; Mass Spectrometry/methods* ; Illicit Drugs/analysis*

Objective: To understand and analyze the incidence of club drug abuse and influencing factors in men who have sex with men (MSM) in Qingdao, and provide reference for the AIDS prevention and intervention in this population. Methods: From March 2017 to July 31, 2022, MSM who did not abuse club drug were recruited by snowball sampling of MSM social organizations in Qingdao, a prospective cohort was established, and a follow-up survey was conducted every 6 months. The survey collected the information about the MSM's demographic characteristics, sexual characteristics, club drug abuse and others. The incidence of club drug abuse was the outcome dependent variable and the interval between the recruitment into the cohort and the incidence of club drug abuse was the time dependent variable. Cox regression analysis was conducted to identify the influencing factors for club drug abuse. Results: A total of 509 MSM were recruited at baseline survey, and 369 eligible MSM were enrolled in this cohort. A total of 62 MSM began to abuse club drug during the study period, and the cumulative follow-up time was 911.54 person-years, the incidence of club drug abuse was 6.80/100 person-years. All the club drug abusers shared drugs with others in the first club drug abuse, and 16.13% (10/62) had mix-use of club drugs. The multivariate Cox proportional risk regression analysis showed that being students (aHR=2.17, 95%CI: 1.15-4.10), receiving no HIV testing or receiving 1 HIV testing during past 6 months (aHR=4.57, 95%CI:1.80-11.60; aHR=5.15, 95%CI: 2.83-9.36), having sex only with regular sexual partners during past 6 months (aHR=4.75,95%CI:2.32-9.75), having more than 4 homosexual partners (aHR=1.70, 95%CI:1.01-2.87) and abuse of club drug of sexual partners during past 6 months (aHR=12.78, 95%CI:3.06-53.35) were significantly associated with club drug abuse in the MSM. Conclusions: The incidence of club drug abuse was at a high level in the MSM cohort in Qingdao, indicating a high risk for HIV infection. Being student, receiving less HIV testing, having sex only with regular sexual partners, having more homosexual partners and abuse of club drug of sexual partners during past 6 months were risk factors for the incidence of club drug abuse in the MSM. Targeted surveillance and intervention measures should be strengthened to reduce the risk of club drug abuse in MSM.
Male ; Humans ; Homosexuality, Male ; Cohort Studies ; Illicit Drugs ; Incidence ; HIV Infections ; Prospective Studies ; Sexual and Gender Minorities ; Substance-Related Disorders

Abuse of pharmaceutical drugs is a major public health and social problem worldwide. Mostly abused drugs mainly include opioids such as morphine, tramadol, methadone and fentanyl, sedative-hypnotics such as benzodiazepines and non-benzodiazepines, and central stimulants such as Ritalin (methylphenidate), Adderall (amphetamine and dextroamphetamine) and modafinil. Abuse of pharmaceutical drugs not only causes direct damage to multiple systems of the body, but also significantly increases risks of mental and physical diseases, imposing a heavy burden on individuals, families and society. Therefore, the prevention and control of pharmaceutical drug abuse are of vital importance. The Chinese government has taken strict administration measures for pharmaceutical drugs with abuse risk. However, confronting endless new drugs and changing abuse trends, it is necessary to further strengthen management and prevention of pharmaceutical drugs, monitor the trend of abuse, establish rapid response mechanisms, popularize relevant knowledge, and develop specific therapeutic drugs and intervention means, in order to promote prevention and treatment of pharmaceutical drug abuse.
Analgesics, Opioid/adverse effects* ; Central Nervous System Stimulants/adverse effects* ; Humans ; Illicit Drugs/adverse effects* ; Substance-Related Disorders/prevention & control*

OBJECTIVES: To establish a combined high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) and gas chromatography-mass spectrometry (GC-MS) method to detect the synthetic cannabinoid CUMYL-PEGACLONE in e-cigarette oil and hair. METHODS: HPLC-MS/MS and GC-MS were used to establish the detection method of CUMYL-PEGACLONE, and the hair of drug-involved persons and the seized e-cigarette oil were detected. RESULTS: The main mass spectrometry characteristic ions m/z of CUMYL-PEGACLONE measured by GC-MS were 91, 179, 197, 254 and 372. CUMYL-PEGACLONE had a good linear relationship in the mass concentration range of 2-50 ng/mL, and the linear correlation coefficient (r) was greater than 0.99. The limit of detection (LOD) of CUMYL-PEGACLONE in hair was 0.01 ng/mg, and the limit of quantitation (LOQ) was 0.02 ng/mg. The LOD of CUMYL-PEGACLONE in e-cigarette oil was 1 ng/mg, and the LOQ was 2 ng/mg. The average recoveries of CUMYL-PEGACLONE under the attempt at high, intermediate and low levels in blank human hair and e-cigarette oil matrix were 98.2%-132.4% and 93.5%-110.6%, and the intraday and intraday precision were 1.2%-12.9% and 0.7%-2.9%. CUMYL-PEGACLONE was detected in the hair of 15 drug-involved persons. Except for 1 person who was lower than LOQ, the concentration of CUMYL-PEGACLONE in the hair of other 14 persons was 0.035-0.563 ng/mg. The mass fraction of CUMYL-PEGACLONE in 2 e-cigarette oil were 0.17% and 0.21%, respectively. CONCLUSIONS The established HPLC-MS/MS and GC-MS methods are applied to the detection of HPLC-MS/MS in drug-related cases, which provides strong evidence support for the handling authority to quickly investigate these cases, and also provides a reference for the identification of such substances in future.
Humans ; Illicit Drugs/analysis* ; Tandem Mass Spectrometry ; Electronic Nicotine Delivery Systems ; Cannabinoids ; Hair/chemistry* ; Limit of Detection ; Substance Abuse Detection/methods*