Polydrug use - prevalence and registration. / Blandingsmisbruk ­ forekomst og registrering.

BACKGROUND: Combination of drugs is the main cause of fatal overdose, and polydrug use is associated with greater treatment needs. This study investigates the prevalence and registration of multiple substance dependence. MATERIAL AND METHOD: Substance dependence diagnoses for 147 inpatients at the Department of Addiction Treatment, Oslo University Hospital were registered and reassessed with a focus on the ICD-10 diagnosis F19 (chaotic intake of multiple substances). The resulting diagnoses were also assessed according to ICD-11. RESULTS: Altogether 116 (79 %) out of 147 patients were addicted to two or more drugs. Only 22 (15 %) out of 147 were diagnosed with F19, but this figure increased to 52 (35 %) after reassessment. Using ICD-11 we found a prevalence of the diagnosis 6C4F (multiple substance dependence) of 79 %. INTERPRETATION: We found an underreporting of the ICD-10 diagnosis F19. It is important to use the F19 diagnosis, because polydrug use is underreported, even though it predicts overdose, prognosis and treatment needs.

Ethyl Glucuronide Elimination Kinetics in Fingernails and Comparison to Levels in Hair.

AIMS: Measurement of ethyl glucuronide (EtG) in nail, as a biomarker for alcohol intake, has recently been suggested as alternative to measurement in hair. The aim of this study was to compare levels of EtG in nail and hair, and to investigate the elimination kinetics of EtG in fingernails during an alcohol abstinent period. METHODS: Overall, 40 subjects (median estimated daily intake of ethanol (EDI) 92.5 g/day) were recruited from an alcohol rehabilitation clinic. Nail and hair samples were collected at inclusion and nail clippings were collected every 7-10th day for up to 12 weeks. RESULTS: All patients showed higher nail EtG/EDI ratios compared to hair EtG/EDI ratios (P < 0.001). The median value of the ratios between EtG in nail and EtG in hair was 5.0 (range: 1.07-56.1). There was a significant correlation between nail EtG/EDI and hair EtG/EDI (Spearman's ρ = 0.638, P < 0.001). EtG disappeared from nails after ~2 months of abstinence and the median calculated EtG half-life in nail clippings was 13.3 days (range: 5.5-29.0). There was a significant correlation between the time elapsed to last positive sample for nail EtG and nail EtG levels at time of inclusion (Spearman's ρ = 0.449, P = 0.004). CONCLUSION: The present data indicate that EtG cut-off levels in nails should be higher compared to the established 30 pg/mg EtG cut-off in hair representing heavy drinking. EtG may disappear faster from nail than expected from nail growth physiology. SHORT SUMMARY: Nails are an alternative matrix to hair when measuring ethyl glucuronide (EtG). The present study indicate that EtG cut-off levels in nails should be higher compared to the established 30 pg/mg EtG cut-off in hair representing heavy drinking, and EtG may disappear faster from nail than expected.

Extended Detection of Amphetamine and Methamphetamine in Oral Fluid.

BACKGROUND: Amphetamine and methamphetamine are popular drugs of abuse worldwide and are important components of drug monitoring programs. Windows of detection for amphetamine and methamphetamine in oral fluid after high doses have not been investigated. Repeated high-dose ingestions are likely to cause positive samples for extended periods. Common routes of administration of amphetamine/methamphetamine in Norway are oral intake or injection. The aim of this study was to investigate windows of detection for amphetamine and methamphetamine in oral fluid from drug addicts under sustained abstinence during detoxification. METHODS: Twenty-five patients admitted to a closed detoxification unit were included in this study. Oral fluid samples were collected daily in the morning and evening, and urine every morning for 10 days. A blood sample was drawn during the first 5 days after admission if the patient consented. Oral fluid results were compared with urine results to determine whether a new ingestion occurred. Oral fluid was collected with the Intercept oral fluid collection device. In-house cutoff concentrations for amphetamine and methamphetamine were 6.8 and 7.5 mcg/L, respectively, in oral fluid, and 135 and 149 mcg/L, respectively, in urine. RESULTS: Amphetamines were detected in 11 oral fluid, 5 urine, and 2 blood specimens from 25 patients. Patients self-reported amphetamines intake of up to 0.5-2 g daily. Windows of detection for amphetamine and methamphetamine in oral fluid were up to 8 days, longer than in urine at the applied cutoff values. CONCLUSIONS: These data confirm that oral fluid is a viable alternative to urine for monitoring amphetamine abuse, and that these substances might be detected in oral fluid for at least 1 week after ingestion of high doses. Such long detection times were, as far as we are aware, never reported previously for oral fluid amphetamines.

Detection Times of Diazepam, Clonazepam, and Alprazolam in Oral Fluid Collected From Patients Admitted to Detoxification, After High and Repeated Drug Intake.

BACKGROUND: Clonazepam, diazepam, and alprazolam are benzodiazepines with sedative, anticonvulsant, and anxiolytic effects, but their prevalence in drug abuse and drug overdoses has long been recognized. When detection times for psychoactive drugs in oral fluid are reported, they are most often based on therapeutic doses administered in clinical studies. Repeated ingestions of high doses, as seen after drug abuse, are however likely to cause positive samples for extended time periods. Findings of drugs of abuse in oral fluid collected from imprisoned persons might lead to negative sanctions, and the knowledge of detection times of these drugs is thus important to ensure correct interpretation. The aim of this study was to investigate the time window of detection for diazepam, clonazepam, and alprazolam in oral fluid from drug addicts admitted to detoxification. METHODS: Twenty-five patients with a history of heavy drug abuse admitted to a detoxification ward were included. Oral fluid was collected daily in the morning and the evening and urine samples every morning for 10 days, using the Intercept device. Whole blood samples were collected if the patient accepted. The cutoff levels in oral fluid were 1.3 ng/mL for diazepam, N-desmethyldiazepam, and 7-aminoclonazepam and 1 ng/mL for clonazepam and alprazolam. In urine, the cutoff levels for quantifications were 30 ng/mL for alprazolam, alpha-OH-alprazolam, and 7-aminoclonazepam, 135 ng/mL for N-desmethyldizepam, and 150 ng/mL for 3-OH-diazepam and for all the compounds, the cutoff for the screening analyses were 200 ng/mL. RESULTS: The maximum detection times for diazepam and N-desmethyldiazepam in oral fluid were 7 and 9 days, respectively. For clonazepam and 7-aminoclonazepam, the maximum detection times in oral fluid were 5 and 6 days, respectively. The maximum detection time for alprazolam in oral fluid was 2.5 days. New ingestions were not suspected in any of the cases, because the corresponding concentrations in urine were decreasing. Results from blood samples revealed that high doses of benzodiazepines had been ingested before admission, and explains the longer detection times in oral fluids than reported previously after intake of therapeutic doses of these drugs. CONCLUSIONS: This study has shown that oral fluid might be a viable alternative medium to urine when the abuse of benzodiazepines is suspected.

Detection time for THC in oral fluid after frequent cannabis smoking.

BACKGROUND: The use of oral fluid for detecting drugs of abuse has become increasingly more frequent. Few studies have, however, investigated the detection times for drugs of abuse in oral fluid, compared with that of in urine or in blood. Cannabis is the world's most widely used drug of abuse, and the detection times for cannabis, in different types of matrixes, are therefore important information to the laboratories or institutions performing and evaluating drugs of abuse analyses. It is well known that frequent use of high dosages of cannabis, for longer periods of time, might lead to prolonged detection times for THC-COOH in urine. Cannabis intake is detected in oral fluid as THC, and a positive finding is considered to be a result of recent smoking, although some studies have already reported longer detection times. The aim of this study was to investigate the detection time for THC in oral fluid, collected from drug addicts admitted for detoxification. Findings in oral fluid were compared with findings in urine, among 26 patients admitted to a closed detoxification unit. METHODS: The study, being the first in doing so, describes the concentration-time profiles for THC in oral fluid among chronic cannabis users, during monitored abstinence, using the Intercept collection kit. The study also includes the concentration-time profiles for creatinine-corrected THC-COOH ratios in urine samples, included to monitor for the possibility of new intakes. RESULTS: THC was detected in oral fluid collected from 11 of the 26 patients in the study. The elimination curves for THC in oral fluid revealed that negative samples could be interspersed among positive samples several days after cessation, whereas the THC-COOH concentrations in urine were decreasing. THC was, in this study, detected in oral fluid for up to 8 days after admission. CONCLUSIONS: The study shows that frequent use of high dosages of cannabis may lead to prolonged detection times, and that positive samples can be interspersed among negative samples. These results are of great importance when THC results from oral fluid analyses are to be interpreted.

Hair EtG: Alterations in segment levels accompanying hair growth.

Hair levels of the direct ethanol biomarker ethyl glucuronide (EtG) are used to evaluate history of alcohol intake. The proximal 3 cm of the hair sample is most often analyzed and this is assumed to represent the intake of ethanol over approximately the past three months. The aim of this study was to investigate change of EtG levels during hair growth in an ethanol-abstinent period. Twenty-seven patients were recruited from an alcohol treatment clinic. A hair sample was collected after hospitalization and EtG was analyzed in the 0-3 cm hair segment (T1). Another hair sample was collected after one month of abstinence and EtG was analyzed in the 1-4 cm hair segment (T2), discarding the proximal 1 cm (0-1 cm) of the segment. As a result of the segment choice and assuming a hair growth rate of 1 cm per month, T2 should represent roughly the same time of alcohol exposure as segment T1. The median concentration of EtG in T1 was 100 pg/mg (range 7.7-1320) and the median concentration in T2 was 53.4 pg/mg (range < LOQ-692). EtG concentrations decreased significantly from T1 to T2 (p = 0.003) and the median change in EtG from T1 to T2 was -46.0%. This study shows decreasing EtG concentrations in most subjects in a hair segment during growth when comparing two segments that is assumed to represent roughly the same period of alcohol intake. Further research is needed to confirm if this observed decline of EtG is a result of wash-out-effects of EtG or other factors.

[Tularemia from a cat bite]. / Tularemi etter kattebitt.

We report the first case in Norway of a man who developed ulceroglandular tularaemia following a cat bite. If after feline contact, patients develop skin and soft-tissue infections that fail to respond to therapy with penicillin, physicians should consider the possibility of tularaemia. Our patient was successfully treated with ciprofloxacin, which is effective against Francisella tularensis and most pathogens associated with feline infections. A greater awareness of infections following a cat bite is important for recognising this uncommon condition.

[Bite wound infections]. / Infeksjoner ved bitt.

BACKGROUND: The lifetime risk of experiencing a bite wound, human or animal, is approximately 50%, and bite wounds account for approximately 1% of all visits to emergency departments. The majority of bite wounds are inflicted by dogs and cats. MATERIAL AND METHODS: A review of the literature on the diagnosis and treatment of bite wound infections is presented. RESULTS: The most common pathogens associated with bite wounds are Streptococcus species, Staphylococcus species, Pasteurella multocida, Capnocytophaga canimorsus and anaerobic bacteria. Sporadically other pathogens are isolated from bite wounds. Human bites differ from animal bites by higher prevalence of Staphylococcus aureus and Eikenella corrodens. INTERPRETATION: It is important to be aware of the possibility of complicating infections following bite wounds, particularly after cat bites. Phenoxymethyl penicillin should be the drug of choice in treatment of infections associated with cat and dog bites. However, in case of slow recovery or no improvement, simultaneous lymphadenopathy or pneumonia, S. aureus or Francisella tularensis should be suspected; ciprofloxacin is recommended. For human bite infections the recommend treatment is phenoxymethyl penicillin in combination with penicillinase-stable penicillin.

Exflagellation of microgametocytes in Plasmodium vivax malaria: a diagnostic conundrum.

OBJECTIVE: To present a clinical diagnostic conundrum of unidentified structures in a blood smear from a patient with Plasmodium vivax malaria. CLINICAL PRESENTATION AND INTERVENTION: A 37-year-old Ethiopian male presented with a 4-month history of chills, chronic diarrhea and weight loss. He was diagnosed with P. vivax malaria, advanced HIV infection and Isospora belli enteritis. Unidentified structures initially confusing to the diagnosticians were seen in blood smears taken on admission. The structures were initially considered to represent atypical spirochetes, but were later identified as microgametes and other exflagellation forms of P. vivax. The patient recovered after receiving adequate treatment for his infections. CONCLUSION: This case illustrates that exflagellation may be observed in blood smears from patients with P. vivax malaria. Size and morphological characteristics differentiate malaria microgametes and other exflagellation forms from microfilaria, spirochetes and trypanosomes.