Monique Appenzeller

Two cases of "cannabis acute psychosis" following the administration of oral cannabis

BackgroundCannabis is the most commonly used illegal drug and its therapeutic aspects have a growing interest. Short-term psychotic reactions have been described but not clearly with synthetic oral THC, especially in occasional users.Case presentationsWe report two cases of healthy subjects who were occasional but regular cannabis users without psychiatric history who developed transient psychotic symptoms (depersonalization, paranoid feelings and derealisation) following oral administration of cannabis. In contrast to most other case reports where circumstances and blood concentrations are unknown, the two cases reported here happened under experimental conditions with all subjects negative for cannabis, opiates, amphetamines, cocaine, benzodiazepines and alcohol, and therefore the ingested dose, the time-events of effects on behavior and performance as well as the cannabinoid blood levels were documented.ConclusionWhile the oral route of administration achieves only limited blood concentrations, significant psychotic reactions may occur.

Weed or wheel! FMRI, behavioural, and toxicological investigations of how cannabis smoking affects skills necessary for driving

Marijuana is the most widely used illicit drug, however its effects on cognitive functions underling safe driving remain mostly unexplored. Our goal was to evaluate the impact of cannabis on the driving ability of occasional smokers, by investigating changes in the brain network involved in a tracking task. The subject characteristics, the percentage of Δ9-Tetrahydrocannabinol in the joint, and the inhaled dose were in accordance with real-life conditions. Thirty-one male volunteers were enrolled in this study that includes clinical and toxicological aspects together with functional magnetic resonance imaging of the brain and measurements of psychomotor skills. The fMRI paradigm was based on a visuo-motor tracking task, alternating active tracking blocks with passive tracking viewing and rest condition. We show that cannabis smoking, even at low Δ9-Tetrahydrocannabinol blood concentrations, decreases psychomotor skills and alters the activity of the brain networks involved in cognition. The relative decrease of Blood Oxygen Level Dependent response (BOLD) after cannabis smoking in the anterior insula, dorsomedial thalamus, and striatum compared to placebo smoking suggests an alteration of the network involved in saliency detection. In addition, the decrease of BOLD response in the right superior parietal cortex and in the dorsolateral prefrontal cortex indicates the involvement of the Control Executive network known to operate once the saliencies are identified. Furthermore, cannabis increases activity in the rostral anterior cingulate cortex and ventromedial prefrontal cortices, suggesting an increase in self-oriented mental activity. Subjects are more attracted by intrapersonal stimuli (“self”) and fail to attend to task performance, leading to an insufficient allocation of task-oriented resources and to sub-optimal performance. These effects correlate with the subjective feeling of confusion rather than with the blood level of Δ9-Tetrahydrocannabinol. These findings bolster the zero-tolerance policy adopted in several countries that prohibits the presence of any amount of drugs in blood while driving.

THCCOOH concentrations in whole blood: Are they useful in discriminating occasional from heavy smokers?

Some forensic and clinical circumstances require knowledge of the frequency of drug use. Care of the patient, administrative, and legal consequences will be different if the subject is a regular or an occasional cannabis smoker. To this end, 11-nor-9-carboxy-Δ9-tetrahydrocannabinol (THCCOOH) has been proposed as a criterion to help to distinguish between these two groups of users. However, to date this indicator has not been adequately assessed under experimental conditions. We carried out a controlled administration study of smoked cannabis with a placebo. Cannabinoid levels were determined in whole blood using tandem mass spectrometry. Significantly high differences in THCCOOH concentrations were found between the two groups when measured during the screening visit, prior to the smoking session, and throughout the day of the experiment. Receiver operating characteristic (ROC) curves were determined and two threshold criteria were proposed in order to distinguish between these groups: a free THCCOOH concentration below 3 µg/L suggested an occasional consumption (≤ 1 joint/week) while a concentration higher than 40 µg/L corresponded to a heavy use (≥ 10 joints/month). These thresholds were tested and found to be consistent with previously published experimental data. The decision threshold of 40 µg/L could be a cut-off for possible disqualification for driving while under the influence of cannabis. A further medical assessment and follow-up would be necessary for the reissuing of a driving license once abstinence from cannabis has been demonstrated. A THCCOOH level below 3 µg/L would indicate that no medical assessment is required.

ESTIMATION OF GLOMERULAR FILTRATION RATE BY SINISTRIN CLEARANCE USING VARIOUS APPROACHES

Two protocols for the determination of glomerular filtration rate (GFR) from sinistrin clearance are considered: a bolus injection and a bolus followed by infusion. On both occasions, serial blood and urine samplings are scheduled up to 6 h. Four calculation methods are compared for estimating GFR from the data obtained during each protocol: classical UV/P (ratio of urinary excretion rate over plasma concentration) after bolus or bolus plus infusion; 2-point (log-linear slope multiplied by apparent volume of distribution); D/AUC (ratio of dose over area under the curve) after bolus; and Rin/P (ratio of infusion rate over steady-state concentration) during infusion. Some refinements of the calculations are devised. Data are simulated by running a bicompartmental pharmacokinetic model with renal elimination, and contaminating the values with an array of random errors. The statistical performance of the respective calculation methods is assessed by graphical means. The UV/P method performs poorly during 2 hours following the bolus; on both bolus and infusion data, it suffers from imprecision on the urinary volume. The 2-point method is acceptable between 1 and 4 h after bolus; later, the estimates become much less precise. The D/AUC method appears highly reliable when integrating the concentrations up to 3 h after bolus; it requires extrapolation towards infinity. The Rin/P method is satisfactory if applied later than 3 to 4 h after the loading dose. The advantages and drawbacks of each methods must be evaluated in relation with the particular clinical setting in which GFR is to be estimated. D/AUC represents the most advisable approach for snapshot renal testing in subjects or patients without important renal impairment.

SPECIFIC DETERMINATION OF PAH AND ITS N-ACETYL METABOLITE BY HPLC INCREASES THE ACCURACY AND PRECISION OF PAH CLEARANCE MEASUREMENTS

PAH (N-(4-aminobenzoyl)-glycin) clearance measurements have been used for 50 years in clinical research for the determination of renal plasma flow. The quantitation of PAH in plasma or urine is generally performed by colorimetric method after diazotation reaction. Although straightforward, the measurements must be corrected for the nonspecific residual response observed in blank plasma. We have therefore developed an HPLC method for the specific determination of PAH and its metabolite NAc-PAH using a gradient elution ion-pair reverse-phase chromatography with UV detection. The Nacetyltransferase (NAT-1 or NAT-2 dependent) activity does not seem clinically relevant nor does it affect notably PAH clearances, although NAc-PAH represents 10.2 +/- 2.7% of the PAH excreted unchanged in 12 healthy subjects. The performance of the HPLC technique has been compared with the colorimetric method using urine and plasma samples collected from 12 healthy volunteers following a priming dose of PAH followed by a constant rate infusion. Good correlations (r = 0.94 and 0.97, for plasma and urine respectively) are found between the results obtained with both techniques. However, the colorimetric method gives higher concentrations of PAH in urine while the concentrations in plasma are lower than those determined by HPLC. Hence, both renal (CLR = U x V/P) and systemic (CLS = Rinf/Css) clearances are systematically higher (35.1%, resp. 17.8%) with the colorimetric method. The fraction of PAH excreted by the kidney CLR/CLS calculated from HPLC data (n = 143) is, as expected, always < 1 (mean = 0.73 +/- 0.11), whereas the colorimetric method gives a mean extraction ratio of 0.87 +/- 0.13 implying unphysio-logical values (> 1) in some cases. In conclusion HPLC not only enables the simultaneous quantitation of PAH and NAc-PAH, but may also provide more accurate and precise PAH clearance measurements.

Acute Effects of Cannabis Smoking on Skills Related to Driving: an fMRI Study.

Introduction : Driving is a complex everyday task requiring mechanisms of perception, attention, learning, memory, decision making and action control, thus indicating that involves numerous and varied brain networks. If many data have been accumulated over time about the effects of alcohol consumption on driving capability, much less is known about the role of other psychoactive substances, such as cannabis (Chang et al.2007, Ramaekers et al, 2006). Indeed, the solicited brain areas during safe driving which could be affected by cannabis exposure have not yet been clearly identified. Our aim is to study these brain regions during a tracking task related to driving skills and to evaluate the modulation due to the tolerance of cannabis effects. Methods : Eight non-smoker control subjects participated to an fMRI experiment based on a visuo-motor tracking task, alternating active tracking blocks with passive tracking viewing and rest condition. Half of the active tracking conditions included randomly presented traffic lights as distractors. Subjects were asked to track with a joystick with their right hand and to press a button with their left index at each appearance of a distractor. Four smoking subjects participated to the same fMRI sessions once before and once after smoking cannabis and a placebo in two independent cross-over experiments. We quantified the performance of the subjects by measuring the precision of the behavioural responses (i.e. percentage of time of correct tracking and reaction times to distractors). Functional MRI data were acquired using on a 3.0T Siemens Trio system equipped with a 32-channel head coil. BOLD signals will be obtained with a gradient-echo EPI sequence (TR=2s, TE=30ms, FoV=216mm, FA=90°, matrix size 72×72, 32 slices, thickness 3mm). Preprocessing, single subject analysis and group statistics were conducted on SPM8b. Results were thresholded at p 30 for spatial extent. Results : Behavioural results showed a significant impairment in task and cognitive test performance of the subjects after cannabis inhalation when comparing their tracking accuracy either to the controls subjects or to their performances before the inhalation or after the placebo inhalation (p<0.001 corrected). In controls, fMRI BOLD analysis of the active tracking condition compared to the passive one revealed networks of polymodal areas in superior frontal and parietal cortex dealing with attention and visuo-spatial coordination. In accordance to what is known of the visual and sensory motor networks we found activations in V4, frontal eye-field, right middle frontal gyrus, intra-parietal sulcus, temporo-parietal junction, premotor and sensory-motor cortex. The presence of distractors added a significant activation in the precuneus. Preliminary results on cannabis smokers in the acute phase, compared either to themselves before the cannabis inhalation or to control subjects, showed a decreased activation in large portions of the frontal and parietal attention network during the simple tracking task, but greater involvement of precuneus, of the superior part of intraparietal sulcus and middle frontal gyrus bilaterally when distractors were present in the task. Conclusions : Our preliminary results suggest that acute cannabis smoking alters performances and brain activity during active tracking tasks, partly reorganizing the recruitment of brain areas of the attention network.