The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
A new ESI-LC/MS approach for comprehensive metabolic profiling of phytocannabinoids in Cannabis
Open accessAbstract
Most clinical studies of Cannabis today focus on the contents of two phytocannabinoids: (-)-Δ 9-trans-tetrahydrocannabinol (Δ 9-THC) and cannabidiol (CBD), regardless of the fact that the plant contains over 100 additional phytocannabinoids whose therapeutic effects and interplay have not yet been fully elucidated. This narrow view of a complex Cannabis plant is insufficient to comprehend the medicinal and pharmacological effects of the whole plant. In this study we suggest a new ESI-LC/MS/MS approach to identify phytocannabinoids from 10 different subclasses, and comprehensively profile the identified compounds in diverse medical Cannabis plants. Overall, 94 phytocannabinoids were identified and used for profiling 36 of the most commonly used Cannabis plants prescribed to patients in Israel. In order to demonstrate the importance of comprehensive phytocannabinoid analysis before and throughout medical Cannabis clinical trials, treatments, or experiments, we evaluated the anticonvulsant effects of several equally high-CBD Cannabis extracts (50% w/w). We found that despite the similarity in CBD contents, not all Cannabis extracts produced the same effects. This study’s approach for phytocannabinoid profiling can enable researchers and physicians to analyze the effects of specific Cannabis compositions and is therefore critical when performing biological, medical and pharmacological-based research using Cannabis.
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Krediet, E., Bostoen, T., Breeksema, J., van Schagen, A., Passie, T., & Vermetten, E. (2020) · International Journal of Neuropsychopharmacology · doi:10.1093/ijnp/pyaa018 · Cited by 260
Cohen, J., Sulimani, L., Procaccia, S., Lerenthal, Y., Milay, L., Taran, I., Shapira, A., & Meiri, D. (2025) · Scientific Reports · doi:10.1038/s41598-025-97710-z · Cited by 8
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Metadata
- Authors
- Berman, P., Futoran, K., Lewitus, G. M., Mukha, D., Benami, M., Shlomi, T., & Meiri, D.
- Venue
- Scientific Reports
- Published
- 2018-09-24
- Volume
- 8
- Issue
- 1
- Pages
- 14280-14280
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W2890407376
- Cited by
- 292
- References
- 51
- FWCI
- 13.93
- Type
- journal article
- Language
- en
- Open access
- gold
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- Berman, P., Futoran, K., Lewitus, G. M., Mukha, D., Benami, M., Shlomi, T., & Meiri, D. (2018). A new ESI-LC/MS approach for comprehensive metabolic profiling of phytocannabinoids in Cannabis. Scientific Reports. https://doi.org/10.1038/s41598-018-32651-4
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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