我国剧毒鼠药滥用治理对策

剧毒急性杀鼠剂在我国长期泛滥,违法生产、加工、销售急性剧毒鼠药现象屡禁不止。为遏制剧毒鼠药在我国泛滥,一要加强鼠药市场监督管理,规划鼠药生产、经营、使用行为;二要加大打击力度,在各个环节封堵、消灭“毒鼠强”;三要加强统一灭鼠工作,普及科学灭鼠知识;四要加强协同作战,建立剧毒鼠药打防体系。     

GC和GC/MS技术在毒品来源推断中的应用

目的应用气相色谱(GC)和气相色谱/质谱联用(GC/MS)技术,定性、定量分析毒品案例,推断毒品来源。方法采用GC/MS法定性分析毒品样品中的主成分、痕量杂质、掺假剂和稀释剂,并选择GC/FID和外标法定量分析上述各组分,通过定性和定量数据的统计比对,并用SPSS10.0数据统计分析软件对分组结果进行验证,推断毒品样品之间来源的区别与联系。结果用GC/MS定性分析、GC/FID定量分析和SPSS10.0数据统计分析软件将12个案件的毒品按来源分成7组,其中1、6、7、11号样品和10A、10B样品分成两组,2、3、5、9号样品各成一组,4号和8号样品分成一组。上述12起案件的毒品来源分析和比对结果,经送检部门反馈的破案信息证明,与案件的真实情况十分吻合。结论应用GC/MS、GC/FID技术分析毒品,可准确推断毒品来源。     

头发中抗抑郁药及抗精神病药的检测及评价

目的 :为精神药物的中毒鉴定提供方法和依据。方法 :调查精神病患者头发中药物的存在状况 ,并建立头发中抗抑郁药和抗精神病药的GC/NPD和GC/MS分析方法。结果 :在32名精神病患者头发中检出了卡马西平、阿米替林、多虑平、安坦、氯丙嗪、泰尔登、三氟拉嗪、氯氮平等八种抗忧郁药和抗精神病药 ;并发现头发中氯丙嗪和氯氮平含量与剂量存在相关关系 ,相关系数分别为0 8047(P<0 001,n=16)和0 7097(P<0 001,n=16);且头发分段分析表明药物在毛干中的分布与用药史一致。结论 :头发分析可提供精神药物剂量史的信息 ,检出时限至少为药后16个月。     

中华民国时期西北地区的烟毒及禁政

本文研究了中华民国时期西北地区烟毒发展概况和北洋政府、南京国民政府时期西北地方政府的禁政措施。西北烟毒泛滥和西北军阀的破禁、勒种纵贩以及寓禁于征、烟土垄断有关 ,禁烟法令成为具文。南京国民政府六年禁政使烟毒泛滥得到一定的控制 ,但和预期仍有相当差距 ,其中原因与南京国民政府基于社会本位立法思想对禁烟和领事裁判权、断禁和渐禁、禁和征三大关系的认识以及具体禁烟的方式不无关系。前人的经验和教训值得我们借鉴。     

泰国的禁毒运动

制毒、贩毒和吸毒是当今世界最大的公害之一。它跟艾滋病、恐怖主义一样,是人类的大敌。目前全世界毒品的种植、生产和消费仍呈蔓延和发展的趋势,毒品问题已成为全球性的问题,几乎没有一个国家能幸免于难。地处世界著名毒源“金三角”的泰国,更是在劫难逃,长期受到毒品的危害和困扰,可以说,毒品已成为泰国国家安全与稳定的主要威胁之一。他信政府自2001年2月上台执政以来,把禁毒作为与脱贫、治贪并列的三大施政目标之一。他信认为,毒品是泰国当前的大敌,防毒反毒是政府的当务之急,提出了向“毒品宣战”的口号。近三年,由于措施得力,行动果断,所以扫毒工作战果累累。泰国政府禁毒的成功将不仅造福于全体泰国人民,也将为整个亚洲乃至全世界的禁毒斗争做出历史性贡献。     

血、尿中常见吩噻嗪类药物的高效液相色谱分析

吩噻嗪类安眠镇静药物易受光、热分解,气相色谱分析法受一定限制。而采用反相离子对液相色谱技术,使七种常见吩噻嗪类药物得到较好的分离。使用紫外及荧光分光光度计测定,可作为血、尿中此类药物的快速定性、定量分析方法之一。本法已在刑事中毒案件与临床抡救化验中应用。     

Evaluation and classification of fentanyl-related compounds using EC-SERS and machine learning

Multiple analytical techniques for the screening of fentanyl-related compounds exist. High discriminatory methods such as GC–MS and LC–MS are expensive, time-consuming, and less amenable to onsite analysis. Raman spectroscopy provides a rapid, inexpensive alternative. Raman variants such as electrochemical surface-enhanced Raman scattering (EC-SERS) can provide signal enhancements with 10¹⁰ magnitudes, allowing for the detection of low-concentration analytes, otherwise undetected using conventional Raman. Library search algorithms embedded in instruments utilizing SERS may suffer from accuracy when multicomponent mixtures involving fentanyl derivatives are analyzed. The complexing of machine learning techniques to Raman spectra demonstrates an improvement in the discrimination of drugs even when present in multicomponent mixtures of various ratios. Additionally, these algorithms are capable of identifying spectral features difficult to detect by manual comparisons. Therefore, the goal of this study was to evaluate fentanyl-related compounds and other drugs of abuse using EC-SERS and to process the acquired data using machine learning—convolutional neural networks (CNN). The CNN was created using Keras v 2.4.0 with Tensorflow v 2.9.1 backend. In-house binary mixtures and authentic adjudicated case samples were used to evaluate the created machine-learning models. The overall accuracy of the model was 98.4 ± 0.1% after 10-fold cross-validation. The correct identification for the in-house binary mixtures was 92%, while the authentic case samples were 85%. The high accuracies achieved in this study demonstrate the advantage of using machine learning to process spectral data when screening seized drug materials comprised of multiple components.     

Embutramide,a Component of Tanax®(T‐61) as a New Drug of Abuse?

Tanax^®(T‐61) is a euthanasia solution commonly used in veterinary medicine in Europe. It consists of three active components: embutramide, mebezonium iodide, and tetracaine hydrochloride. Human consumption of Tanax^®(T‐61) is usually associated with suicide attempts. In our 15‐year‐long practice, embutramide was detected only three times but within a short period. First, it was found in the urine of a 42‐year‐old veterinarian, and the other two observations were made in a 16‐year‐old young man. Urine samples were analyzed using Shimadzu Prominence TOX.I.S.II. HPLC–DAD system with online SPE extraction system. Both of the two patients denied any intention to die. These cases show that this veterinary drug may also be considered as potential drugs of abuse.     

FINANCING THE WAR ON DRUGS: THE IMPACT OF LAW ENFORCEMENT GRANTS ON RACIAL DISPARITIES IN DRUG ARRESTS

This study estimates the impact of the discretionary Edward Byrne Memorial State and Local Law Enforcement Assistance Program (EBMGP) on drug arrests and crime. The 1986 and 1988 Anti‐Drug Abuse Act allocated federal funds to state and local municipalities to combat illicit drug use and violent crime associated with drug sales and trafficking. The results show that the implementation of the EBMGP resulted in an increase in police hiring, an increase in drug sales arrest rates for Blacks and Whites, and a decrease in total crime. Nonetheless, Black‐White racial disparity in the drug sales arrest rate still significantly increases by approximately 1 for every 1,000 Black residents. Our findings highlight the role of federal crime control policies in state and local policing. Although, the EBMGP was a color‐blind policy initiative, it was not race neutral in its implementation.     

The Effects of Substance Use on Offender Crime Scene Behavior

Abstract:  Substance use has an effect on an individual's propensity to commit acquisitive crime with recent studies showing substance users more likely to leave forensic material at a crime scene. An examination of acquisitive crime solved in Northamptonshire, U.K., during 2006 enabled 70 crime scene behavior characteristics to be analyzed for substance and nonsubstance use offenders. Logistical regression analyses have identified statistically significant crime scene behavior predictors that were found to be either present at or absent from the crime scene when the offender was a substance user. Most significant predictors present were indicative of a lack of preparation by the offender, irrational behavior, and a desire to steal high value, easily disposed of, property. Most significant predictors absent from the crime scene were indicative of more planning, preparation, and execution by the offender. Consideration is given to how this crime scene behavior might be used by police investigators to identify offenders.