“Objectives/hypothesis: Laryngeal dystonia and vocal tremor can be debilitating conditions with suboptimal treatment options. Botulinum toxin chemodenervation is typically the first-line treatment and is considered the gold standard. However, patient response to botulinum toxin varies widely. There is anecdotal evidence for the use of cannabinoids in treating laryngeal dystonia with a scarcity of research investigating this potential treatment option. The primary objective of this study is to survey patients with laryngeal dystonia and vocal tremor to gauge how some people are using cannabinoids to treat their condition and to ascertain patient perceptions of cannabinoid effectiveness.

Study design: This is a cross-sectional survey study.

Methods: An eight-question anonymous survey was distributed to people with abductor spasmodic dysphonia adductor spasmodic dysphonia, vocal tremor, muscle tension dysphonia, and mixed laryngeal dystonia via the Dysphonia International (formerly National Spasmodic Dysphonia Association) email listserv.

Results: 158 responses: 25 males and 133 females, (mean [range] age, 64.9 [22-95] years). 53.8% of participants had tried cannabinoids for the purposes of treating their condition at some point, with 52.9% of this subset actively using cannabis as part of their treatment. Most participants who have used cannabinoids as a treatment rank their effectiveness as somewhat effective (42.4%) or ineffective (45.9%). Participants cited a reduction in voice strain and anxiety as reasons for cannabinoid effectiveness.

Conclusions: People with laryngeal dystonia and/or vocal tremor currently use or have tried using cannabinoids as a treatment for their condition. Cannabinoids were better received as a supplementary treatment than as a stand-alone treatment.”

https://pubmed.ncbi.nlm.nih.gov/37308367/

https://www.jvoice.org/article/S0892-1997(23)00158-3/fulltext

“Background: Understanding the genome of Cannabis sativa holds significant scientific value due to the multi-faceted therapeutic nature of the plant. Links from cannabis gene to therapeutic property are important to establish gene targets for the optimization of specific therapeutic properties through selective breeding of cannabis strains. Our work establishes a resource for quickly obtaining a complete set of therapeutic properties and genes associated with any known cannabis chemical constituent, as well as relevant literature.

Methods: State-of-the-art natural language processing (NLP) was used to automatically extract information from many cannabis-related publications, thus producing an undirected multipartite weighted-edge paragraph co-occurrence relationship network composed of two relationship types, gene-chemical and chemical property. We also developed an interactive application to visualize sub-graphs of manageable size.

Results: Two hundred thirty-four cannabis constituent chemicals, 352 therapeutic properties, and 124 genes from the Cannabis sativa genome form a multipartite network graph which transforms 29,817 cannabis-related research documents from PubMed Central into an easy to visualize and explore network format.

Conclusion: Use of our network replaces time-consuming and labor intensive manual extraction of information from the large amount of available cannabis literature. This streamlined information retrieval process will enhance the activities of cannabis breeders, cannabis researchers, organic biochemists, pharmaceutical researchers and scientists in many other disciplines.”

https://pubmed.ncbi.nlm.nih.gov/37254213/

https://jcannabisresearch.biomedcentral.com/articles/10.1186/s42238-023-00182-z

“Cannabis and related compounds have created significant research interest as a promising therapy in many disorders. However, the individual therapeutic effects of cannabinoids and the incidence of side effects are still difficult to determine. Pharmacogenomics may provide the answers to many questions and concerns regarding the cannabis/cannabinoid treatment and help us to understand the variability in individual responses and associated risks. Pharmacogenomics research has made meaningful progress in identifying genetic variations that play a critical role in interpatient variability in response to cannabis. This review classifies the current knowledge of pharmacogenomics associated with medical marijuana and related compounds and can assist in improving the outcomes of cannabinoid therapy and to minimize the adverse effects of cannabis use. Specific examples of pharmacogenomics informing pharmacotherapy as a path to personalized medicine are discussed.”

https://pubmed.ncbi.nlm.nih.gov/37185752/

https://www.mdpi.com/1467-3045/45/4/228

“Personalized medicine could transform healthcare”

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492710/

“Importance: The use of cannabis as a medicine is becoming increasingly prevalent. Given the diverse range of conditions being treated with medical cannabis, as well as the vast array of products and dose forms available, clinical evidence incorporating patient-reported outcomes may help determine safety and efficacy.

Objective: To assess whether patients using medical cannabis report improvements in health-related quality of life over time.

Design, setting, and participants: This retrospective case series study was conducted at a network of specialist medical clinics (Emerald Clinics) located across Australia. Participants were patients who received treatment for any indication at any point between December 2018 and May 2022. Patients were followed up every mean (SD) 44.6 (30.1) days. Data for up to 15 follow-ups were reported. Statistical analysis was conducted from August to September 2022.

Exposure: Medical cannabis. Product types and cannabinoid content varied over time in accordance with the treating physician’s clinical judgement.

Main outcomes and measures: The main outcome measure was health-related quality of life as assessed using the 36-Item Short Form Health Survey (SF-36) questionnaire.

Results: In this case series of 3148 patients, 1688 (53.6%) were female; 820 (30.2%) were employed; and the mean (SD) age was 55.9 (18.7) years at baseline before treatment. Chronic noncancer pain was the most common indication for treatment (68.6% [2160 of 3148]), followed by cancer pain (6.0% [190 of 3148]), insomnia (4.8% [152 of 3148]), and anxiety (4.2% [132 of 3148]). After commencing treatment with medical cannabis, patients reported significant improvements relative to baseline on all 8 domains of the SF-36, and these improvements were mostly sustained over time. After controlling for potential confounders in a regression model, treatment with medical cannabis was associated with an improvement of 6.60 (95% CI, 4.57-8.63) points to 18.31 (95% CI, 15.86-20.77) points in SF-36 scores, depending on the domain (all P < .001). Effect sizes (Cohen d) ranged from 0.21 to 0.72. A total of 2919 adverse events were reported, including 2 that were considered serious.

Conclusions and relevance: In this case series study, patients using medical cannabis reported improvements in health-related quality of life, which were mostly sustained over time. Adverse events were rarely serious but common, highlighting the need for caution with prescribing medical cannabis.”

https://pubmed.ncbi.nlm.nih.gov/37159196/

https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2804653