Drug intelligence based on MDMA tablets data: 2. Physical characteristics profiling

One of the tasks of the European project entitled “Collaborative Harmonisation of Methods for Profiling of Amphetamine Type Stimulants” (CHAMP) funded by the sixth framework programme of the European Commission was to develop a harmonised methodology for MDMA profiling and the creation of a common database in a drug intelligence perspective. Part I was dedicated to the analysis of organic impurities formed during synthesis in order to investigate traffic tendencies and highlight potential links between samples, whereas this part focuses on physical characteristics of the MDMA tablets. Diameter, thickness, weight and score were demonstrated to be reliable and relevant features in this drug intelligence perspective. Distributions of samples coming from the same post-tabletting batch (post-TB) and samples coming from different post-TB were very well discriminated by using the squared Euclidean or the Manhattan distance on standardised data. Our findings demonstrated the possibility to discriminate between MDMA samples issued from different post-TB and to find out links between samples coming from a same post-TB. Furthermore, the hypothesis that most of the MDMA samples found on the international market come from the same countries was supported.     

The application of amino acid racemization in the acid soluble fraction of enamel to the estimation of the age of human teeth

The main objectives of the European project "Collaborative Harmonization of Methods for Profiling of Amphetamine Type Stimulants" (CHAMP) funded by the sixth framework programme of the European Commission, included the harmonization of MDMA profiling methods and the creation of a common database in a drug intelligence perspective. In the preliminary stages of this project, the participating laboratories analysed the physical characteristics, the chemical composition and the organic impurities of MDMA tablets, using the previously harmonized methods. The aim of the present work was to apply statistical treatments to the recorded data in order to evaluate their potential in the fight against drug trafficking. Comparable working procedures were applied on the different types of data. The first part of this article deals with organic impurities data, while the second part focuses on the potential of the physical characteristics. Organic impurities data were recorded by a harmonized Gas Chromatography/Mass Spectrometry (GC/MS) method previously developed. Statistical analysis provided a selection of pertinent variables among the 46 organic impurities identified in the chromatograms. Correlation coefficients were used to yield separation between populations of samples coming from the same synthesis batch and samples coming from different batches. It was shown that correlation measurements based on Pearson and cosine functions applied to the data pre-treated by normalisation to the sum of peak responses followed by the square root provided an excellent discrimination between the two populations. The statistical methods applied to organic impurities profiles proved to be excellent techniques to differentiate samples from different batches and to highlight operational links between samples.     

Drug intelligence based on organic impurities in illicit MA samples

One major objective of the European project "Collaborative Harmonisation of Methods for Profiling of Amphetamine Type Stimulants" (CHAMP), funded by the sixth framework programme of the European Commission, consisted of the harmonisation of a gas chromatography/mass spectrometry (GC/MS) method for the analysis of organic impurities found in illicit methamphetamine (MA) samples in a drug intelligence perspective. Statistical analysis provided a selection of pertinent variables among the 43 organic impurities identified in the chromatograms. As for the 3,4-MethyleneDioxyMethAmphetamine (MDMA) study, correlation coefficients were used as a discrimination tool between populations of linked samples (from the same seizure) and unlinked samples (from different seizures). It was also shown that correlation measurements based on Pearson and cosine functions applied to the data pre-treated by normalisation to the sum of peak responses followed by the square root provided excellent discrimination between the two populations. The organic impurities profiling method was proved to be relevant for the characterization of samples from different seizures and their synthesis route patterns.     

The use of organic and inorganic impurities found in MDMA police seizures in a drug intelligence perspective

Traditional forensic drug profiling involves numerous analytical techniques, and the whole process is typically costly and may be time consuming. The aim of this study was to investigate the possibility of prioritising techniques utilised at the Australian Federal Police (AFP) for the chemical profiling of 3,4-methylenedioxymethylamphetamine (MDMA). The outcome would provide the AFP with the ability to obtain more timely and valuable results that could be used in an intelligence perspective. Correlation coefficients were used to obtain a similarity degree between a population of linked samples (within seizures) and a population of unlinked samples (between different seizures) and discrimination between the two populations was ultimately achieved. The results showed that gas chromatography–mass spectrometry (GC–MS) was well suited as a single technique to detect links between seizures and could be used in priority for operational intelligence purposes. Furthermore, the method was applied to seizures known or suspected (through their case information) to be linked to each other to assess the chemical similarity between samples. It was found that half of the seizures previously linked by the case number were also linked by the chemical profile. This procedure was also able to highlight links between cases that were previously unsuspected and retrospectively confirmed by circumstantial information. The findings are finally discussed in the broader forensic intelligence context, with a focus on how they could be successfully incorporated into investigations and in an intelligence-led policing perspective in order to understand trafficking markets.     

Headspace solid-phase microextraction (HS-SPME) and liquid-liquid extraction (LLE): comparison of the performance in classification of ecstasy tablets. Part 2

Headspace solid-phase microextraction (HS-SPME) is assessed as an alternative to liquid-liquid extraction (LLE) currently used for 3,4-methylenedioxymethampethamine (MDMA) profiling. Both methods were compared evaluating their performance in discriminating and classifying samples. For this purpose 62 different seizures were analysed using both extraction techniques followed by gas chromatography-mass spectroscopy (GC-MS). A previously validated method provided data for HS-SPME, whereas LLE data were collected applying a harmonized methodology developed and used in the European project CHAMP. After suitable pre-treatment, similarities between sample pairs were studied using the Pearson correlation. Both methods enable to distinguish between samples coming from the same pre-tabletting batches and samples coming from different pre-tabletting batches. This finding emphasizes the use of HS-SPME as an effective alternative to LLE, with additional advantages such as sample preparation and a solvent-free process.     

Population drug use in Australia: a wastewater analysis

Accurate information on drug use in communities is essential if health, social and economic harms associated with illicit drug use are to be addressed efficiently. In most countries population drug use is estimated indirectly via surveys, medical presentations and police and custom seizures. All of these methods have at least some problems due to bias, small samples and/or long time delays between collecting the information and analysing the results. Recently the direct quantification of drug residues in wastewater has shown promise as a means of monitoring drug use in defined geographical areas. In this study we measured 3,4-methylenedioxymethamphetamine (MDMA), methamphetamine and benzoylecgonine in sewage inflows in metropolitan and regional areas of Australia and compared these data with published European data. Cocaine use was small compared to European cities (p<0.001) but was compensated for by much greater consumption of methamphetamine (p<0.001) and MDMA (p<0.05). MDMA was more popular in regional areas (p<0.05) whereas methamphetamine and cocaine were mainly consumed in the city (p<0.05). Greater than 5-fold increases in MDMA use were detected on weekends (p<0.001). This approach has the potential to improve our understanding of drug use in populations and should be further developed to improve prevention and treatment programs.     

Forensic drug intelligence: an important tool in law enforcement

Organised criminality is a great concern for national/international security. The demonstration of complex crimes is increasingly dependant on knowledge distributed within law-enforcement agencies and scientific disciplines. This separation of knowledge creates difficulties in reconstructing and prosecuting such crimes. Basic interdisciplinary research in drug intelligence combined with crime analysis, forensic intelligence, and traditional law enforcement investigation is leading to important advances in crime investigation support. Laboratory results constitute one highly dependable source of information that is both reliable and testable. Their operational use can support investigation and even provide undetected connections or organisation of structure. The foremost difficulties encountered by drug analysts are not principally of a chemical or analytical nature, but methodologies to extract parameters or features that are deemed to be crucial for handling and contextualising drug profiling data. An organised memory has been developed in order to provide accurate, timely, useful and meaningful information for linking spatially and temporally distinct events on a national and international level (including cross-border phenomena). Literature has already pointed out that forensic case data are amenable for use in an intelligence perspective if data and knowledge of specialised actors are appropriately organised, shared and processed. As a particular form of forensic case data, the authors' research focuses on parameters obtained through the systematic physical and chemical profiling of samples of illicit drugs. The procedure is used to infer and characterise links between samples that originate from the same and different seizures. The discussion will not, however, focus on how samples are actually analysed and compared as substantial literature on this topic already exists. Rather, attention is primarily drawn to an active and close collaboration between magistrates, forensic scientists, law enforcement investigators and crime analysts from different institutions with the aim of generating, using and validating relevant profiling case data as integral part of investigative and crime analysis processes. Original advances are highlighted through experiences from criminal investigations of offences related to the unlawful importation, exportation, supply and possession of illicit drugs.     

The designer drug situation in Ibiza

A total of 137 urine samples and 46 serum samples, corresponding to 154 self-confessed designer drugs consumers in Ibiza island, were analyzed for the presence of designer drugs: amphetamine and amphetamine derivatives (methamphetamine, methylenedioxymethamphetamine (MDMA), methylenedioxyethylamphetamine (MDEA), methylenedioxyamphetamine (MDA), p-methoxymethylamphetamine (PMMA), p-methoxyamphetamine (PMA), etc.), ketamine and γ-hydroxybutyric acid. Among this population, coming both from the forensic clinic and from the emergency room of a hospital, a total of 99 cases were found positive for some designer drug. This study shows the prevalence of methylenedioxymethamphetamine (MDMA) among designer drug users, sole or in association with other drugs. Also, the mixture of MDMA with other designer drugs, ethanol and/or cocaine is shown to be more likely to produce toxic symptoms requiring clinical attendance in a hospital emergency room. These findings along with the consumption history, the concentrations of drugs and metabolites in urine and serum and the toxicological significance for the interpretation of some MDMA metabolites such as 4-hydroxy-3-methoxymethamphetamine (HMMA) are discussed in this study.     

The designer drug situation in Ibiza

A total of 137 urine samples and 46 serum samples, corresponding to 154 self-confessed designer drugs consumers in Ibiza island, were analyzed for the presence of designer drugs: amphetamine and amphetamine derivatives (methamphetamine, methylenedioxymethamphetamine (MDMA), methylenedioxyethylamphetamine (MDEA), methylenedioxyamphetamine (MDA), p-methoxymethylamphetamine (PMMA), p-methoxyamphetamine (PMA), etc.), ketamine and gamma-hydroxybutyric acid. Among this population, coming both from the forensic clinic and from the emergency room of a hospital, a total of 99 cases were found positive for some designer drug. This study shows the prevalence of methylenedioxymethamphetamine (MDMA) among designer drug users, sole or in association with other drugs. Also, the mixture of MDMA with other designer drugs, ethanol and/or cocaine is shown to be more likely to produce toxic symptoms requiring clinical attendance in a hospital emergency room. These findings along with the consumption history, the concentrations of drugs and metabolites in urine and serum and the toxicological significance for the interpretation of some MDMA metabolites such as 4-hydroxy-3-methoxymethamphetamine (HMMA) are discussed in this study.     

Profiles of urine samples from participants at rave party in Taiwan: prevalence of ketamine and MDMA abuse

Drug abuse patterns are different due to cultural, social and geographical differences. Methamphetamine (MA) is the most important drug of abuse in Taiwan followed by opiates. Recently, there has been an increase of ketamine and MDMA abuse in disco dancing clubs. Here, we report the patterns of drug abuse by the participants in a metropolitan city disco-dancing club and the general public in Taiwan. The positive rates of common drugs of abuse detected in samples collected from participants in a dancing club were as follows: MDMA, 75.7%; ketamine, 47.0%; MA, 41.6%; opiates, 0%. Marijuana and cocaine were detected at much lower rates (3.4 and 4.7%, respectively). Ketamine and one of the amphetamines were detected together in 42.9% of the samples. The positive rates in samples collected from police detainees suspected of drug abuse in the general public were as follows: MA, 76.0%; OPA, 37.0%; MDMA, 6.0%; ketamine, 2.0%.     

The Variability of Ecstasy Tablets Composition in Brazil

The content of ecstasy tablets has been changing over the years, and nowadays 3,4‐methylenedioxymethamphetamine (MDMA) is not always present in the tablets. The aim of this study was to investigate the chemical composition in the seized tablets labeled as ecstasy. We analyzed samples from 150 different seizures made by Sao Paulo's State Police by gas chromatography–mass spectrometry. MDMA was present in 44.7% of the analyzed samples, and another twenty different active substances were identified in these tablets, such as caffeine, 2C‐B, piperazines, amphetamines, phencyclidine, and others. Methamphetamine was present in 22% of these samples. The results demonstrate a huge shift in the pattern of trafficking of synthetic drugs, where MDMA has been replaced in tablets mostly by illicit psychoactive substances, in a clear attempt to bypass the law. The great variability in the tablets composition may lead to an increased risk of drug poisoning.     

Plasma,oral fluid and sweat wipe ecstasy concentrations in controlled and real life conditions

In a double-blind placebo controlled study on psychomotor skills important for car driving (Study 1), a 75 mg dose of +/- 3,4-methylenedioxymethamphetamine (MDMA) was administered orally to 12 healthy volunteers who were known to be recreational MDMA-users. Toxicokinetic data were gathered by analysis of blood, urine, oral fluid and sweat wipes collected during the first 5h after administration. Resultant plasma concentrations varied from 21 to 295 ng/ml, with an average peak concentration of 178 ng/ml observed between 2 and 4h after administration. MDA concentrations never exceeded 20 ng/ml. Corresponding MDMA concentrations in oral fluid, as measured with a specific LC-MS/MS method (which required only 50 microl of oral fluid), generally exceeded those in plasma and peaked at an average concentration of 1215 ng/ml. A substantial intra- and inter-subject variability was observed with this matrix, and values ranged from 50 to 6982 ng/ml MDMA. Somewhat surprisingly, even 4-5h after ingestion, the MDMA levels in sweat only averaged 25 ng/wipe. In addition to this controlled study, data were collected from 19 MDMA-users who participated in a driving simulator study (Study 2), comparing sober non-drug conditions with MDMA-only and multiple drug use conditions. In this particular study, urine samples were used for general drug screening and oral fluid was collected as an alternative to blood sampling. Analysis of oral fluid samples by LC-MS/MS revealed an average MDMA/MDEA concentration of 1121 ng/ml in the MDMA-only condition, with large inter-subject variability. This was also the case in the multiple drug condition, where generally, significantly higher concentrations of MDMA, MDEA and/or amphetamine were detected in the oral fluid samples. Urine screening revealed the presence of combinations such as MDMA, MDEA, amph, cannabis, cocaine, LSD and psilocine in the multiple-drug condition.     

The prevalence of MDMA/MDA in both hair and urine in drug users

The prevalence and age distribution of 3,4-methylenedioxymethamphetamine (MDMA) and 3,4-methylenedioxyamphetamine (MDA) in hair samples by gas chromatography/mass spectrometry (GC/MS) were studied. The recoveries obtained from hair were 97% and 99% for MDMA and MDA, respectively. The inter- and intra-assay precision and accuracy were determined. Out of 791 hair samples, 44 (5.6 %) contained MDMA and/or MDA. Out of these 44 subjects, urinalyses from 35 were negative for both MDMA and MDA, while only 9 were positive. We also evaluated concentrations of MDMA and MDA, and the metabolite-to-parent drug ratios. This study showed that the abuse of MDMA or MDA was found principally among young adults and male abusers. We found the epidemiology of ecstasy users in Korea between March 2002 and April 2003.     

A review of impurity profiling and synthetic route of manufacture of methylamphetamine, 3,4-methylenedioxymethylamphetamine,amphetamine, dimethylamphetamine and p-methoxyamphetamine

Amphetamine-type substances (ATS), like other synthetically derived compounds, can be produced by a multitude of synthetic pathways using a variety of precursors and reagents, resulting in a large number of possible contaminants (by-products, intermediates and impurities). This review article describes the common contaminants found in preparations of methylamphetamine (MA), 3,4-methylenedioxymethylamphetamine (MDMA), amphetamine (AP), N,N-dimethylamphetamine (DMA) and p-methoxyamphetamine (PMA) synthesised via common synthetic pathways including reductive amination, Leuckart method, Nagai method, Emde method, Birch reduction, “Moscow” method, Wacker process, “Nitrostyrene” method and the Peracid oxidation method.Contaminants can facilitate identification of the synthetic route, origin of precursors and may suggest information as to the location of manufacture of these illicit drugs. Contaminant profiling can provide vital intelligence for investigations in which linking seizures or identifying the synthetic pathway is essential. This review article presents an accessible resource; a compilation of contaminants resulting from a variety of manufacturing methods used to synthesise the most common ATS. It is important for research in this field to continue as valuable information can be extracted from illicit drug samples, increasing discrimination amongst ATS, and in turn, leading to an increase in evidential value and forensic drug intelligence from forensic drug samples.     

A Cannabis sativa STR Genotype Database for Australian Seizures: Forensic Applications and Limitations*

Abstract: A genetic database was established with the aim of documenting the genetic diversity of Cannabis sativa in Australia for future utilization in forensic investigations. The database consisted of genotypes at 10 validated short tandem repeat loci for 510 plants representing drug seizures from across Australia and 57 fiber samples. A total of 106 alleles and 314 different genotypes were detected. All fiber samples exhibited unique genotypes while 55% of the drug samples shared a genotype with one or more samples. Shared genotypes were mostly found within seizures; however, some genotypes were found among seizures. Statistical analysis indicated that genotype sharing was a consequence of clonal propagation rather than a lack of genetic resolution. Thus, the finding of shared genotypes among seizures is likely due to either a common supplier, or direct links among seizures. Notwithstanding the potential intelligence information provided by genetic analysis of C. sativa, our database analysis also reveals some present limitations.     

European validation of a Cannabis sativa 13-locus STR multiplex kit for genetic identification: A preliminary study

Cannabis sativa L. is a plant cultivated worldwide as a source of fiber, medicine and intoxicant. Traditionally, is divided into two main types: fiber type (hemp) and drug type (marijuana). Marijuana differs from hemp by the presence of a high quantity of the psychoactive drug, Δ9-tetrahydrocannabinol. The development of a validated method using short tandem repeats (STRs) could serve as an intelligence tool to link cases by means of genetic individualization or association of cannabis samples. For this purpose, a 13-locus STR multiplex method was developed, optimized, and validated by the Department of Forensic Science at Sam Houston State University (SHSU) according to relevant ISFG and SWGDAM guidelines. The European community considers C. sativa plants illegals, even though its consumption is accepted in precise and limited places (coffee shops or cannabis clubs in Netherlands and Spain). However, there are different gaps in the legislation of some European countries. For instance, in Italy, “weed” possession is decriminalized. Although trafficking and sale are prohibited, possession of small quantities of marijuana is considered only a civil offense. In order to proceed with the kit evaluation and inter-laboratory comparison, SHSU DNA laboratory sent blind cannabis DNA samples of known genotypes. Blind DNA samples were analyzed in different laboratories with different sequencers and analysis conditions. In this article, the goals were: a) to demonstrate that 13-locus STR kit for C. sativa is robust enough and reproducible, in all forensic laboratories, and b) to show the applicability of the STR system in association with Cannabis sativa cases for intelligence purposes to link multiple cases by means of genetic individualization or association of cannabis samples.     

Characteristics and trends of 3,4-methylenedioxymethamphetamine (MDMA) tablets found in Taiwan from 2002 to February 2005

One hundred and eighty-one 3,4-methylenedioxymethamphetamine (MDMA) containing tablets were sampled from confiscated drugs received by the Taiwan National Bureau of Controlled Drugs for testing from 2002 to February 2005. Sample tablets demonstrated various colors and logos. The appearances, contents of MDMA and other components in these tablets were analyzed in order to understand the characteristics and trends of MDMA use. Samples were analyzed using GC-MS methodology. Deuterated internal standards were used for drug quantification. The MDMA contents varied from 16 to 193 mg/tablet. 66-71% of the tablets seized each year contained only MDMA, and the content of MDMA in MDMA only tablets varied from 89 to 133 mg/tablet. There was a decreasing trend in MDMA content in these tablets over time. Other components commonly found besides MDMA included caffeine (18%), methamphetamine (7%), 3,4-methylenedioxyethylamphetamine (MDEA) (7%) and amphetamine (4%). 3,4-Methylenedioxyamphetamine (MDA), ketamine, ephedrine, diazepam, chlorzoxazone and nicotinamide were also detected. During the study period, the number of other drugs found as well as the combinations of different drugs detected in these tablets increased.     

Optimization of extraction parameters for the chemical profiling of 3,4-methylenedioxymethamphetamine (MDMA) tablets

The extraction of impurities from illegally produced 3,4-methylenedioxymethamphetamine (MDMA) has been studied in order to optimize the parameters. Two different MDMA samples were used. Particular attention was paid to the influence of the pH, the evaporation step, and the sample storage. The method used was an extraction of impurities by diethyl ether from a buffer solution at pH 11.5, followed by gas chromatography (GC) mass spectrometric (MS) analyses after a dryness concentration under monitored conditions of the ethereal extract. Repeat extractions of the same sample gave an average relative standard deviation (RSD) of less than 8.5% within day and less than 10.5% between days.     

Elemental analysis of 3,4-methylenedioxymethamphetamine (MDMA): A tool to determine the synthesis method and trace links

The elemental composition of 3,4-methylenedioxymethamphetamine (MDMA) powders and tablets was determined. The objective was the identification of the synthesis method and application of the elemental profile in comparative analysis. The developed analytical method comprised the digestion of a sample followed by quantitative analysis with inductive coupled plasma mass spectrometry (ICP-MS) and inductive coupled plasma atomic emission spectroscopy (ICP-AES). The sample collection consisted of a unique set of MDMA powders (57) from illicit production sites and MDMA tablets (97) taken from large seizures (over 500 tablets) in the Netherlands. The production method of MDMA could be determined for 89 of the 97 tablets. In 84 cases reductive amination using Pt as the catalyst was used, in four cases reductive amination using NaBH(4) or a similar reducing agent was employed and one mixed sample (Pt and B) was found. None of the MDMA tablets were assigned to the aluminium amalgam method. Using the elemental profile, 13 links were identified within the 97 MDMA tablets using cluster analysis based on Pearson correlations. Of these links 10 were corroborated by additional analyses.     

Screening experiments of ecstasy street samples using near infrared spectroscopy

Twelve different sets of confiscated ecstasy samples were analysed applying both near infrared spectroscopy in reflectance mode (1100-2500 nm) and high-performance liquid chromatography (HPLC). The sets showed a large variance in composition. A calibration data set was generated based on the theory of factorial designs. It contained 221 N-methyl-3,4-methylenedioxyamphetamine (MDMA) samples, 167 N-ethyl-3,4-methylenedioxyamphetamine (MDE), 111 amphetamine and 106 samples without a controlled substance, which will be called placebo samples thereafter. From this data set, PLS-1 models were calculated and were successfully applied for validation of various external laboratory test sets. The transferability of these results to confiscated tablets is demonstrated here. It is shown that differentiation into placebo, amphetamine and ecstasy samples is possible. Analysis of intact tablets is practicable. However, more reliable results are obtained from pulverised samples. This is due to ill-defined production procedures. The use of mathematically pretreated spectra improves the prediction quality of all the PLS-1 models studied. It is possible to improve discrimination between MDE and MDMA with the help of a second model based on raw spectra. Alternative strategies are briefly discussed.