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Monitoring Metabolism Of Synthetic Cannabinoid 4F-MDMB-BINACA Via High-resolution Mass Spectrometry Assessed In Cultured Hepatoma Cell Line, Fungus, Liver Microsomes And Confirmed Using Urine Samples Forensic Toxicology Springer Nature Link

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Effects of individual doses were compared to the vehicle control value using a priori contrasts. Response-rate data were analyzed by one-way repeated-measure analysis of variance. Percent drug-appropriate responding was shown only if at 5CL ADBA powder least three rats completed the first fixed ratio, whereas all rats are shown for the response rate dat


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 5CL ADBA powder 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

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


Acute kidney damage and even kidney failure have been reported following use of synthetic cannabinoids (Davidson, et al., 2017). One recent study has looked at other mechanisms of action in some of the older synthetic cannabinoids and reported that some produced varying amounts of activity at sites which are related to cardiotoxicity and heart disease (Wiley et al., 2016). It is not known whether the increased toxicity is due only to activation of CB1 cannabinoid receptors more strongly than Δ9-THC or whether these "super-strength" cannabinoids produce effects at other receptors. A major cause of concern is that some of the more recently seen synthetic cannabinoids are more likely to produce extremely toxic effects than the older synthetics (Tai and Fantegrossi, 2017

4. Drugs
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. 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 humans. Drug discrimination is a well-known animal model of the subjective effects of drugs and correlates well with abuse liability (Young 2009; Horton et al. 2013). Assessment of abuse liability is based on several factors, including chemical structure, pharmacological mechanism of action, and finally, subjective and reinforcing behavioral effects (FDA, 2010; Swedberg, 2013).
Michael B Gat