“Cannabis exerts an indirect effect on dopamine (DA) output in the mesolimbic projection, a circuit implicated in reward processing and effort expenditure, and thus may be associated with aberrant effort-based decision making. The “amotivation syndrome” hypothesis suggests that regular cannabis use results in impaired capacity for goal-directed behavior. However, investigations of this hypothesis have used divergent methodology and have not controlled for key confounding variables.

The present study extends these findings by examining the relation between cannabis use and effort-related decision making in a sample of college students. Cannabis using (n = 25; 68% meeting criteria for Cannabis Use Disorder) and noncannabis using (n = 22) students completed the Effort Expenditure for Rewards Task (EEfRT). In generalized estimating equation models, reward magnitude, reward probability, and expected value predicted greater likelihood of selecting a high-effort trial. Furthermore, past-month cannabis days and cannabis use disorder symptoms predicted the likelihood of selecting a high-effort trial, such that greater levels of both cannabis use days and symptoms were associated with an increased likelihood after controlling for Attention Deficit/Hyperactivity Disorder (ADHD) symptoms, distress tolerance, income, and delay discounting.

The results provide preliminary evidence suggesting that college students who use cannabis are more likely to expend effort to obtain reward, even after controlling for the magnitude of the reward and the probability of reward receipt. Thus, these results do not support the amotivational syndrome hypothesis. Future research with a larger sample is required to evaluate possible associations between cannabis use and patterns of real-world effortful behavior over time.”

https://pubmed.ncbi.nlm.nih.gov/35084912/

“Cannabis use is becoming increasingly tolerated, both culturally and legally; yet, the risks associated with cannabis use are still unclear. There is a perception among the general public that cannabis leads to amotivation and diminished effortful behavior. Our results do not support the amotivational hypothesis but, instead, that cannabis use is associated with a greater likelihood of selecting high effort trials.”

https://psycnet.apa.org/doiLanding?doi=10.1037%2Fpha0000544

“Background: An oral route of administration for tetrahydrocannabinol (Δ⁹-THC) and cannabidiol (CBD) eliminates the harmful effects of smoking and has potential for efficacious cannabis delivery for therapeutic and recreational applications. We investigated the pharmacokinetics of CBD, Δ⁹-THC, 11-OH-THC, and 11-nor-9-carboxy-Δ⁹-THC (THC-COOH) in a novel oral delivery system, Solutech™, compared to medium-chain triglyceride-diluted cannabis oil (MCT-oil) in a healthy population. 

Materials and Methods: Thirty-two participants were randomized and divided into two study arms employing a comparator-controlled, parallel-study design. To evaluate the pharmacokinetics of Δ⁹-THC, CBD, 11-OH-THC, and THC-COOH, blood was collected at pre-dose (t=0) and 10, 20, 30, and 45, min and 1, 1.5, 2, 2.5, 3, 4, 5, 6, 8, 12, 24, and 48 h post-dose after a single dose of Solutech (10.0 mg Δ⁹-THC, 9.76 mg CBD) or MCT (10.0 mg Δ⁹-THC, 9.92 mg CBD). Heart rate and blood pressure were measured at 0.5, 1, 2, 4, 6, 8, 12, 24, and 48 h. Relationships between cannabis use history, body mass index, sex, and pharmacokinetic parameters were investigated. Safety was assessed before and at 48 h post-acute dose. 

Results: Acute consumption of Solutech provided a significantly greater maximum concentration (C_max), larger elimination and absorption rate constants, faster time to C_max and lag time, and half-life for all analytes compared to MCT-oil (p<0.001). In addition, cannabis use history had a significant influence on the pharmacokinetic parameters of CBD, Δ⁹-THC, 11-OH-THC, and THC-COOH. On average, participants with later age of first use had higher Δ⁹-THC, CBD, and THC-COOH C_max and later time-to-C_max and half-life for Δ⁹-THC, CBD, THC-COOH, and 11-OH-THC than those with earlier age of first use (p≤0.032). Those with more years of recreational cannabis use had higher area under the curve for Δ⁹-THC and CBD, C_max for CBD, and longer 11-OH-THC half-life than those with less (p≤0.048). 

Conclusion: This study demonstrated that consumption of Solutech enhanced most pharmacokinetics parameters measured compared to MCT-oil. Participant’s cannabis use history, including their age of first use and number of years using cannabis significantly impacted pharmacokinetic parameters investigated. Acute consumption of both products was found to be safe and well tolerated. The results suggest that Solutech may optimize bioavailability from cannabis formulations.”

https://pubmed.ncbi.nlm.nih.gov/35787693/

https://www.liebertpub.com/doi/10.1089/can.2021.0176

“While many states have legalized medical cannabis, many unintended consequences remain under-studied. We focus on one potential detriment-the effect of cannabis legalization on automobile safety. We examine this relationship through auto insurance premiums.

Employing a modern difference-in-differences framework and zip code-level premium data from 2014 to 2019, we find that premiums declined, on average, by $22 per year following medical cannabis legalization. The effect is more substantial in areas near a dispensary and in areas with a higher prevalence of drunk driving before legalization.

We estimate that existing legalization has reduced health expenditures related to auto accidents by almost $820 million per year with the potential for a further $350 million reduction if legalized nationally.”

https://pubmed.ncbi.nlm.nih.gov/35691014/

https://onlinelibrary.wiley.com/doi/10.1002/hec.4553