“Aim: To investigate trends in synthetic cannabinoid exposures reported to United States (US) poison control centres, and their association with status of state cannabis legalisation.

Methods: A retrospective study of National Poison Data System (NPDS) data from 2016 to 2019 identified and associated synthetic poisoning reports with annual state cannabis law and market status. State status was categorised as restrictive (cannabis illegal or limited medical legalisation), medical (allowing THC-containing medical cannabis use) and permissive (allowing non-medical use of THC-containing cannabis by adults). We categorised a subset of states with permissive policies by their implementation of legal adult possession/use and opening retail markets, on a quarterly basis. Mixed-effects Poisson regression models assessed synthetic exposures associated with legal status, first among all states using annual counts, and then among states that implemented permissive law alone using quarterly counts.

Results: A total of 7600 exposures were reported during the study period. Overall, reported synthetic exposures declined over time. Most reported exposures (64.8%) required medical attention, and 61 deaths were documented. State implementation of medical cannabis law was associated with 13% fewer reported annual exposures. Adoption of permissive state cannabis policy was independently and significantly associated with 37% lower reported annual synthetic exposures, relative to restrictive policies (IRR: 0.63, 95% CI: 0.50-0.79). Among states with permissive law during the period, implementation of legal adult possession/use was associated with 22% fewer reported quarterly exposures. Opening of retail markets was associated with 36% fewer reported exposures, relative to states with medical cannabis only.

Conclusions: Adoption of permissive cannabis law was associated with significant reductions in reported synthetic cannabinoid exposures. More permissive cannabis law may have the unintended benefit of reducing both motivation and harms associated with use of synthetic cannabis products.”

https://pubmed.ncbi.nlm.nih.gov/35942512/

“The gradual reduction of prohibitions against plant-based cannabis offers an opportunity to study use of cannabis and powerful synthetic analogues that may have been used as natural cannabis substitutes. Our study identified an association between more liberal policies (legalisation) for natural cannabis and declines in reported synthetic cannabinoid poisonings. This finding suggests a potential effect of policy change on substance use behaviours that may have long-term public health implications.”

https://www.tandfonline.com/doi/full/10.1080/15563650.2022.2099887

“For centuries, humans have cultivated cannabis for the pharmacological properties that result from consuming its specialized metabolites, primarily cannabinoids and terpenoids. Today, cannabis is a multi-billion-dollar industry whose existence rests on the biological activity of tiny cell clusters, called glandular trichomes, found mainly on flowers. Cannabinoids are toxic to cannabis cells,¹ and how the trichome cells can produce and secrete massive quantities of lipophilic metabolites is not known.¹ To address this gap in knowledge, we investigated cannabis glandular trichomes using ultra-rapid cryofixation, quantitative electron microscopy, and immuno-gold labeling of cannabinoid pathway enzymes. We demonstrate that the metabolically active cells in cannabis form a “supercell,” with extensive cytoplasmic bridges across the cell walls and a polar distribution of organelles adjacent to the apical surface where metabolites are secreted. The predicted metabolic role of the non-photosynthetic plastids is supported by unusual membrane arrays in the plastids and the localization of the start of the cannabinoid/terpene pathway in the stroma of the plastids. Abundant membrane contact sites connected plastid paracrystalline cores with the plastid envelope, plastid with endoplasmic reticulum (ER), and ER with plasma membrane. The final step of cannabinoid biosynthesis, catalyzed by tetrahydrocannabinolic acid synthase (THCAS), was localized in the cell-surface wall facing the extracellular storage cavity. We propose a new model of how the cannabis cells can support abundant metabolite production, with emphasis on the key role of membrane contact sites and extracellular THCA biosynthesis. This new model can inform synthetic biology approaches for cannabinoid production in yeast or cell cultures.”

https://pubmed.ncbi.nlm.nih.gov/35917819/

https://www.cell.com/current-biology/fulltext/S0960-9822(22)01115-0?

“Study defines how cannabis cells make cannabinoids”

https://www.news-medical.net/news/20220803/Study-defines-how-cannabis-cells-make-cannabinoids.aspx

“Health is a human right. In order to guarantee that right, it is fundamental that all activities concerning health in different contexts (clinical, research, teaching) contribute to the construction of an efficient system that promotes excellence, equity, justice, and solidarity. In this issue, we take on alternatives regarding the use of medical cannabis from this perspective. Health research and its contribution to knowledge – in particular with respect to the development of new pharmaceuticals – represents not only a challenge related to technology and production, but also an opportunity for ensuring the autonomy of the health system.”

https://pubmed.ncbi.nlm.nih.gov/35900986/

http://revistas.unla.edu.ar/saludcolectiva/article/view/3991

“In this research, we examine the effects of cannabis use on creativity and evaluations of creativity. Drawing on both the broaden-and-build theory and the affect-as-information model, we propose that cannabis use would facilitate more creativity as well as more favorable evaluations of creativity via cannabis-induced joviality. We tested this prediction in two experiments, wherein participants were randomly assigned to either a cannabis use or cannabis abstinence condition.

We find support for our prediction that cannabis use facilitates joviality, which translates to more favorable evaluations of creativity of one’s own ideas and others’ ideas. However, our prediction that cannabis use facilitates creativity via joviality was not supported. Our findings suggest that cannabis use may positively bias evaluations of creativity but have no impact on creativity. Implications for theory and practice are discussed.”

https://pubmed.ncbi.nlm.nih.gov/35901408/

https://psycnet.apa.org/doiLanding?doi=10.1037%2Fapl0000599

“Liberalized state-level recreational cannabis policies in the United States (US) fostered important policy evaluations with a focus on epidemiological parameters such as proportions [e.g., active cannabis use prevalence; cannabis use disorder (CUD) prevalence].

This cannabis policy evaluation project adds novel evidence on a neglected parameter-namely, estimated occurrence of newly incident cannabis use for underage (<21 years) versus older adults. The project’s study populations were specified to yield nationally representative estimates for all 51 major US jurisdictions, with probability sample totals of 819,543 non-institutionalized US civilian residents between 2008 and 2019. Standardized items to measure cannabis onsets are from audio computer-assisted self-interviews. Policy effect estimates are from event study difference-in-difference (DiD) models that allow for causal inference when policy implementation is staggered.

The evidence indicates no policy-associated changes in the occurrence of newly incident cannabis onsets for underage persons, but an increased occurrence of newly onset cannabis use among older adults (i.e., >21 years). We offer a tentative conclusion of public health importance: Legalized cannabis retail sales might be followed by the increased occurrence of cannabis onsets for older adults, but not for underage persons who cannot buy cannabis products in a retail outlet.

Cannabis policy research does not yet qualify as a mature science. We argue that modeling newly incident cannabis use might be more informative than the modeling of prevalences when evaluating policy effects and provide evidence of the advantages of the event study model over regression methods that seek to adjust for confounding factors.”

https://pubmed.ncbi.nlm.nih.gov/35862417/

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0271720