Harmful alcohol use among acutely ill hospitalized medical patients in Oslo and Moscow: A cross-sectional study.

BACKGROUND: The aim was to estimate the prevalence of harmful alcohol use in relation to socio-demographic characteristics among acutely ill medical patients, and examine identification measures of alcohol use, including the alcohol biomarker phosphatidylethanol 16:0/18:1 (PEth). METHODS: A cross-sectional study, lasting one year at one hospital in Oslo, Norway and one in Moscow, Russia recruiting acute medically ill patients (≥ 18 years), able to give informed consent. Self-reported data on socio-demographics, mental distress (Symptom Check List-5), alcohol use (Alcohol Use Disorder Identification Test-4 (AUDIT-4) and alcohol consumption past 24 h were collected. PEth and alcohol concentration were measured in whole blood. RESULTS: Of 5883 participating patients, 19.2% in Moscow and 21.1% in Oslo were harmful alcohol users, measured by AUDIT-4, while the prevalence of PEth-positive patients was lower: 11.4% in Oslo, 14.3% in Moscow. Men in Moscow were more likely to be harmful users by AUDIT-4 and PEth compared to men in Oslo, except of those being ≥ 71 years. Women in Oslo were more likely to be harmful users compared to those in Moscow by AUDIT-4, but not by PEth for those aged < 61 years. CONCLUSIONS: The prevalence of harmful alcohol use was high at both study sites. The prevalence of harmful alcohol use was lower when assessed by PEth compared to AUDIT-4. Thus, self-reporting was the most sensitive measure in revealing harmful alcohol use among all groups except for women in Moscow. Hence, screening and identification with objective biomarkers and self-reporting might be a method for early intervention.

Determination of dopamine concentrations in brain extracellular fluid using microdialysis with short sampling intervals, analyzed by ultra high performance liquid chromatography tandem mass spectrometry.

INTRODUCTION: An increase in striatal dopamine is considered essential for the rewarding and reinforcing effects of drugs of abuse. We have developed and validated an ultra high performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) method for the analysis of dopamine in rat brain extracellular fluid (ECF) sampled with microdialysis. The method was applied to monitor changes in dopamine concentrations over time after an intravenous bolus injection of heroin. METHODS: Dopamine and dopamine-d3 were analyzed using a 2.1×100mm Aquity T3 column, 1.7µm particle size, with a formic acid and methanol gradient. The run time of the method was 2.5min including equilibration time. RESULTS: The method had an LOQ of 0.15ng/mL, which equals 0.55pg on column. The calibration curves were linear in the tested area of 0.15 to 16ng/mL. Inter-assay coefficients of variation varied between 5-17%, with an accuracy expressed as bias of -10 to 5%. The intra-assay coefficients of variation varied between 9-15%, with an accuracy of -3-7%. DISCUSSION: Heroin metabolism is very rapid. Sampling intervals of only 2min were thus required to obtain an adequate number of samples of dopamine analysis accompanying the concentration-time profile of opioids in the brain. Applying a flow of 2µL/min, 4µL of dialysate were sampled at 2min intervals, in 7µL internal standard. The injection volume onto the UPLC column was 10µL. Analyses of microdialysate samples from a rat given heroin i.v. showed that it was possible to measure baseline levels and rapid changes in dopamine concentrations with very short sampling periods.

Fatal poisoning in drug addicts in the Nordic countries in 2012.

This report is a follow-up to a study on fatal poisoning in drug addicts conducted in 2012 by a Nordic working group. Here we analyse data from the five Nordic countries: Denmark, Finland, Iceland, Norway and Sweden. Data on sex, number of deaths, places of death, age, main intoxicants and other drugs detected in the blood were recorded. National data are presented and compared between the Nordic countries and with data from similar studies conducted in 1991, 1997, 2002 and 2007. The death rates (number of deaths per 100,000 inhabitants) increased in drug addicts in Finland, Iceland and Sweden but decreased in Norway compared to the rates in earlier studies. The death rate was stable in Denmark from 1991 to 2012. The death rate remained highest in Norway (5.79) followed by Denmark (5.19) and Iceland (5.16). The differences between the countries diminished compared to earlier studies, with death rates in Finland (4.61) and Sweden (4.17) approaching the levels in the other countries. Women accounted for 15-27% of the fatal poisonings. The median age of the deceased drug addicts was still highest in Denmark, and deaths of addicts >45 years old increased in all countries. Opioids remained the main cause of death, but medicinal opioids like methadone, buprenorphine, fentanyl and tramadol mainly replaced heroin. Methadone was the main intoxicant in Denmark and Sweden, whereas heroin/morphine caused the most deaths in Norway. Finland differed from the other Nordic countries in that buprenorphine was the main intoxicant with only a few heroin/morphine and methadone deaths. Deaths from methadone, buprenorphine and fentanyl increased immensely in Sweden compared to 2007. Poly-drug use was widespread in all countries. The median number of drugs per case varied from 4 to 5. Heroin/morphine, medicinal opioids, cocaine, amphetamines, benzodiazepines and alcohol were the main abused drugs. However, less widely used drugs, like gamma-hydroxybutyric acid (GHB), methylphenidate, fentanyl and pregabalin, appeared in all countries. New psychotropic substances emerged in all countries, with the largest selection, including MDPV, alpha-PVP and 5-IT, seen in Finland and Sweden.

Role of 6-monoacetylmorphine in the acute release of striatal dopamine induced by intravenous heroin.

After injection, heroin is rapidly metabolized to 6-monoacetylmorphine (6-MAM) and further to morphine. As morphine has been shown to increase striatal dopamine, whereas 6-MAM has not been studied in this respect, we gave i.v. injections of 3 µmol 6-MAM, morphine or heroin to rats. Opioids were measured in blood, and dopamine and opioids in microdialysate from brain striatal extracellular fluid (ECF), by UPLC-MS/MS. After 6-MAM injection, 6-MAM ECF concentrations increased rapidly, and reached Cmax of 4.4 µM after 8 min. After heroin injection, 6-MAM increased rapidly in blood and reached Cmax of 6.4 µM in ECF after 8 min, while ECF Cmax for heroin was 1.2 µM after 2 min. T max for morphine in ECF was 29 and 24 min following 6-MAM and heroin administration, respectively, with corresponding Cmax levels of 1 and 2 µM. Dopamine levels peaked after 8 and 14 min following 6-MAM and heroin administration, respectively. The dopamine responses were equal, indicating no dopamine release by heroin per se. Furthermore, 6-MAM, and not morphine, appeared to mediate the early dopamine response, whereas morphine administration, giving rise to morphine ECF concentrations similar to those observed shortly after 6-MAM injection, did not increase ECF dopamine. 6-MAM appeared accordingly to be the substance responsible for the early increase in dopamine observed after heroin injection. As 6-MAM was formed rapidly from heroin in blood, and was the major substance reaching the brain after heroin administration, this also indicates that factors influencing blood 6-MAM concentrations might change the behavioural effects of heroin.

Levels of heroin and its metabolites in blood and brain extracellular fluid after i.v. heroin administration to freely moving rats.

BACKGROUND AND PURPOSE: Heroin, with low affinity for µ-opioid receptors, has been considered to act as a prodrug. In order to study the pharmacokinetics of heroin and its active metabolites after i.v. administration, we gave a bolus injection of heroin to rats and measured the concentration of heroin and its metabolites in blood and brain extracellular fluid (ECF). EXPERIMENTAL APPROACH: After an i.v. bolus injection of heroin to freely moving Sprague-Dawley rats, the concentrations of heroin and metabolites in blood samples from the vena jugularis and in microdialysis samples from striatal brain ECF were measured by ultraperformance LC-MS/MS. KEY RESULTS: Heroin levels decreased very fast, both in blood and brain ECF, and could not be detected after 18 and 10 min respectively. 6-Monoacetylmorphine (6-MAM) increased very rapidly, reaching its maximal concentrations after 2.0 and 4.3 min, respectively, and falling thereafter. Morphine increased very slowly, reaching its maximal levels, which were six times lower than the highest 6-MAM concentrations, after 12.6 and 21.3 min, with a very slow decline during the rest of the experiment and only surpassing 6-MAM levels at least 30 min after injection. CONCLUSIONS AND IMPLICATIONS: After an i.v. heroin injection, 6-MAM was the predominant opioid present shortly after injection and during the first 30 min, not only in the blood but also in rat brain ECF. 6-MAM might therefore mediate most of the effects observed shortly after heroin intake, and this finding questions the general assumption that morphine is the main and most important metabolite of heroin.

Prolonged excretion of 7-aminoclonazepam in urine after repeated ingestion of clonazepam: a case report.

Urinary analyses of the metabolite 7-aminoclonazepam (7-AC) can be helpful in monitoring drug abuse and in the context of suspected drug-facilitated sexual assaults (DFSA). Only two studies have reported detection times of 7-AC in urine after a single dose of clonazepam, and no previous studies have reported detection times after repeated ingestions of clonazepam. This report describes along detection time of 7-AC in urine in the case of a 28-year-old woman with a two year history of daily drug abuse of heroin and clonazepam, who was admitted to a detoxification unit. Urinary samples were delivered every morning for 9 days. Screening analysis in urine was performed by immunoassay, and confirmation analysis by LC-MS/MS. 7-AC was detected for 9 days, and the concentration at day 9 was still high (97 ng/ml), compared to previously reported data. These results indicate that after repeated ingestions of clonazepam, 7-AC can possibly be detected for about 2-3 weeks after cessation, applying cut-off levels commonly used in drug testing programs and DFSA cases.

Simultaneous measurement of heroin and its metabolites in brain extracellular fluid by microdialysis and ultra performance liquid chromatography tandem mass spectrometry.

INTRODUCTION: The pharmacokinetic profile and systemic bioavailability of a substance is often described by blood or total tissue concentrations. For centrally acting drugs, like opioids, the free fraction of active compound in brain extracellular fluid (ECF) is more likely to be correlated to the pharmacodynamic effects than the blood concentrations. Drugs of abuse, like heroin, are often administered intravenously as bolus injections, and the blood concentrations might change rapidly due to metabolism and distribution. The aim of our study was to establish a method to measure the free fraction of heroin and its metabolites in brain ECF, and follow their fast changes in concentration. METHODS: Sprague-Dawley rats were injected intravenously with a bolus of heroin. Heroin and its main metabolites 6-monoacetylmorphine, morphine and morphine-3-glucuronide were measured simultaneously. Brain microdialysis was used for sampling and a method for quantification using ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) was developed. Deuterated analogues for each analyte were included in the microdialysis perfusion solution as calibrators for recovery estimation. RESULTS: A highly sensitive UPLC-MS/MS method allowed short sampling intervals, down to one minute, and the simultaneous detection of each analyte and its specific deuterated analogues, making possible the individual recovery calculation for each compound of interest. This method allowed us to determine the pharmacokinetic profiles of heroin and its metabolites in brain-ECF in the same animal after an intravenous injection of heroin. DISCUSSION: Our method makes detecting concurrently the rapid changes in concentrations of heroin and its metabolites in brain ECF possible, despite the rapid metabolism of heroin. Recovery was measured specifically for each analyte in the same sample by carefully combining different deuterated analogues. This technique can be applied to pharmacokinetic studies where more than one compound of interest has to be monitored, and to study distribution of prodrugs or drugs with active metabolites.

Detection of drugs of abuse in simultaneously collected oral fluid, urine and blood from Norwegian drug drivers.

Blood and urine samples are collected when the Norwegian police apprehend a person suspected of driving under the influence of drugs other than alcohol. Impairment is judged from the findings in blood. In our routine samples, urine is analysed if morphine is detected in blood to differentiate between ingestion of heroin, morphine or codeine and also in cases where the amount of blood is too low to perform both screening and quantification analysis. In several cases, the collection of urine might be time consuming and challenging. The aim of this study was to investigate if drugs detected in blood were found in oral fluid and if interpretation of opiate findings in oral fluid is as conclusive as in urine. Blood, urine and oral fluid samples were collected from 100 drivers suspected of drugged driving. Oral fluid and blood were screened using LC-MS/MS methods and urine by immunological methods. Positive findings in blood and urine were confirmed with chromatographic methods. The analytical method for oral fluid included 25 of the most commonly abused drugs in Norway and some metabolites. The analysis showed a good correlation between the findings in urine and oral fluid for amphetamines, cocaine/benzoylecgonine, methadone, opiates, zopiclone and benzodiazepines including the 7-amino-benzodiazepines. Cocaine and the heroin marker 6-monoacetylmorphine (6-MAM) were more frequently detected in oral fluid than in urine. Drug concentrations above the cut-off values were found in both samples of oral fluid and urine in 15 of 22 cases positive for morphine, in 18 of 20 cases positive for codeine and in 19 of 26 cases positive for 6-MAM. The use of cannabis was confirmed by detecting THC in oral fluid and THC-COOH in urine. In 34 of 46 cases the use of cannabis was confirmed both in oral fluid and urine. The use of cannabis was confirmed by a positive finding in only urine in 11 cases and in only oral fluid in one case. All the drug groups detected in blood were also found in oral fluid. Since all relevant drugs detected in blood were possible to find in oral fluid and the interpretation of the opiate findings in oral fluid was more conclusive than in urine, oral fluid might replace urine in driving under the influence cases. The fast and easy sampling is time saving and less intrusive for the drivers.

Oral fluid is a viable alternative for monitoring drug abuse: detection of drugs in oral fluid by liquid chromatography-tandem mass spectrometry and comparison to the results from urine samples from patients treated with Methadone or Buprenorphine.

Oral fluid is an alternative biological matrix that might have advantages over urine for drug analysis in treatment programs. A liquid chromatography-tandem mass spectrometry (LC-MS-MS) method has been used for screening 32 of the most commonly abused drugs and their metabolites in 0.5 mL preserved oral fluid, and the results were compared to results obtained from urine samples taken at the same time. In all, 164 pairs of oral fluid and urine were obtained from 45 patients stabilized on either methadone or buprenorphine. The total number of detections of drugs other than buprenorphine or methadone was 535 in oral fluid and 629 in urine. Morphine was found more often in urine (n = 66) than in oral fluid (n = 48), whereas the opposite was the case for 6-monoacetylmorphine (n = 20 in urine and n = 48 in oral fluid). Methadone showed the same detection frequency in urine and oral fluid (n = 75), whereas amphetamine (n = 45 in urine and n = 51 in oral fluid), methamphetamine (n = 39 in urine and n = 45 in oral fluid), and N-desmethyldiazepam (n = 37 in urine and n = 51 in oral fluid) were detected slightly more often in oral fluid. The other benzodiazepines, cannabis and cocaine were found more frequently in urine samples. If using a sensitive LC-MS-MS technique, oral fluid might be a good alternative to urine for detection of relatively recent use of drugs.