ReviewLaboratory animal research2022
The endocannabinoid system in zebrafish and its potential to study the effects of Cannabis in humans.
Review in Laboratory animal research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Exploring Cannabinoid Effects Using Zebrafish (International journal of molecular sciences · 2025Review
- Abnormalities of the endocannabinoid system produce piercing nuclear hernias in migrating cerebral neurons.iScience · 2025Article
- Changes of CB1 Receptor Expression in Tissues of Cocaine-Exposed Eels.Animals : an open access journal from MDPI · 2025Article
- Neurological Disorders Induced by Drug Use: Effects of Adolescent and Embryonic Drug Exposure on Behavioral Neurodevelopment.International journal of molecular sciences · 2024Review
- Unraveling the Endocannabinoid System: Exploring Its Therapeutic Potential in Autism Spectrum Disorder.Neuromolecular medicine · 2024Review
- Imaging and Genetic Tools for the Investigation of the Endocannabinoid System in the CNS.International journal of molecular sciences · 2023Review
- Review
- Assessment of Risperidone Toxicity in Zebrafish (Comparative medicine · 2023Article
- Cannabidiol improves haloperidol-induced motor dysfunction in zebrafish: a comparative study with a dopamine activating drug.Journal of cannabis research · 2023Article
- C. elegans as a test system to study relevant compounds that contribute to the specific health-related effects of different cannabis varieties.Journal of cannabis research · 2022Article
- Calcium Chloride Toxicology for Food Safety Assessment Using Zebrafish (Comparative medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Zebrafish is considered an unprecedented animal model in drug discovery. A review of the literature presents highlights and elucidates the biological effects of chemical components found in Cannabis sativa. Particular attention is paid to endocannabinoid system (eCB) and its main receptors (CB1 and CB2). The zebrafish model is a promising one for the study of cannabinoids because of the many similarities to the human system. Despite the recent advances on the eCB system, there is still the need to elucidate some of the interactions and, thus, the zebrafish model can be used for that purpose as it respects the 3Rs concept and reduced time and costs. In view of the relevance of cannabinoids in the treatment and prevention of diseases, as well as the importance of the zebrafish animal model in elucidating the biological effects of new drugs, the aim of this study was to bring to light information on the use of the zebrafish animal model in testing C. sativa-based medicines.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.