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Lab-OASIS

High resolution mass spectrometry such as LC-QTOF-MS allows the detection and identification of a broad spectrum of recreational drugs, including new psychoactive substances. A point-of-care drugs of abuse (DOA) test was initially performed on the urine of the patient. He confirmed drinking 750 ml energy drink without any further consumption of food and using an e-cigarette from Gaziantep, Turkey 10 seconds before the onset of his first symptoms. He usually smokes a pack of cigarettes a day and sometimes smokes e-cigarettes. Combined with non-specific, transient symptoms, clinical recognition of SCRA intoxication is challenging .
Data availability
The intensity is plotted against the retention time for both chromatograms, demonstrating the adb butinaca presence and elution profiles of nicotine and ADB-BUTINACA in the analysed vape liquid sample. LC-QTOF-MS Chromatograms of Nicotine (Top) and ADB-BUTINACA (Bottom) in the Vape Liquid used by the patient. The LC-QTOF-MS analysis showed that the e-liquid contained nicotine and ADB-BUTINACA (Fig. 1). Because the point-of-care DOA test is generally not able to detect synthetic recreational drug substances, the liquid of the e-cigarette was thereafter screened using liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) on the Waters™ Xevo G3 QTOF MS system. After eating a light meal and drinking caffeinated sports drinks at the ER, the nausea complaints of the patient were reduced and the patient was discharged hom

Figure 1.
Each training session lasted a maximum of 10 min, and the rats could earn up to 20 food pellets. Thirty minutes prior to the training sessions, rats received an injection of either vehicle or Δ9-THC and were subsequently placed in the behavior-testing chambers, where food (45-mg food pellets; Bio-Serve, Frenchtown, NJ) was available as a reinforcer for every ten responses (FR10) on a designated injection appropriate lever. A houselight was centered over the hopper close to the ceiling and was illuminated only when the levers were active. Each dose range included doses that were without effect to those producing at least 50% depression compared to vehicle control. Twenty-four male Sprague-Dawley rats were obtained from Envigo (Houston, TX). Male ND4 Swiss–Webster mice were obtained from Envigo (Houston, TX) at approximately 8 weeks of age and maintained in the University of North Texas Health Science Center (UNTHSC) animal facility for two weeks prior to testin

Figure 1.
These synthetic cannabinoids act directly at cannabinoid CB1 and CB2 receptors as does Δ9-tetrahydrocannabinol (Δ9-THC) found in marijuana, but have different chemical structures unrelated to Δ9-THC, different metabolism, and often greater toxicity (Fantegrossi et al., 2014). Discriminative stimulus effects were tested in rats trained to discriminate Δ9-tetrahydrocannabinol (3 mg/kg, 30-min pretreatment). 5F-MDMB-PINACA (also known as 5F-ADB, 5F-ADB-PINACA), MDMB-CHIMICA, MDMB-FUBINACA, ADB-FUBINACA, and AMB-FUBINACA (also known as FUB-AMB, MMB-FUBINACA) were tested for in vivo cannabinoid-like effects to assess their abuse liabilit


A 30-min period, beginning when maximal depression of locomotor activity first appeared as a function of dose, was used for analysis of dose-response data and calculation of ED50 values. During test sessions, both levers were active, such that ten consecutive responses on either lever led to adb butinaca reinforcement. The substitution tests occurred only if the rats had achieved 85% injection-appropriate responding on the two prior training sessions.
The locomotor activity assay was used to identify approximate time courses and dose ranges of psychoactive effects, which is useful for identifying parameters for drug discrimination experiments and are also predictive of the time course of the psychoactive effects in human users. The purpose of the present study was to assess the abuse liability of 5F-MDMB-PINACA, MDMB-CHIMICA, MDMB-FUBINACA, ADB-FUBINACA, and AMB-FUBINACA. Since there is currently no robust measure of the reinforcing/rewarding effects of cannabinoids, drug discrimination is currently the best model for assessing abuse liability of cannabinoids. The findings produce an apparent paradox, since CPP and self-administration predict with high reliability the likelihood that a compound will be abused by humans, and cannabinoids are well-known to produce active drug-seeking in human


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