Editorial on the Research Topic Cannabidiol treatment in neurotherapeutic interventions, volume IIIn this Research Topic, "Cannabidiol Treatment in Neurotherapeutic Interventions, Volume II", we have compiled a new series of case and research reports and original research articles written by world-renowned experts in the field of neuropsychopharmacology. These publications provide scientifically sound evidence in the evaluation of cannabidiol (CBD) as a potential pharmacotherapeutic tool for the treatment of mood disorders such as anxiety and depression and diseases such as Alzheimer's and Parkinson's in animal and human studies. Furthermore, a wide variety of methodologies, ranging from novel analytical and computational techniques to a medical case, also cast light on CBD's underlying action mechanisms, therapeutic monitoring, and potential side effect profile.In a 3-month follow-up observational and clinical trial study, Souza et al. reported the anxiolytic effects of CBD in frontline healthcare professionals that lasted up to a month after treatment discontinuation. In newborn piglets, Barata et al. demonstrated that CBD can prevent hypoxia-ischemia-induced mood disturbances by acting on 5hydrotryptamine 1A (5HT 1A ) receptors. In aged rats, Hernandez-Hernandez and Garcia-Fuster demonstrated a dose-dependent antidepressant-like response for CBD. In a female Alzheimer's disease mouse model, Chesworth et al. showed a beneficial effect of long-term CBD on learning and anxiety. Regarding the role of CBD in Parkinson's disease, Patricio et al. demonstrated that intrapallidal injection of CBD had inhibitory effects on G protein-coupled receptor 55 (GPR55) receptors in the external globus pallidus, seemingly related to GABAergic overactivation in hemiparkinsonism, and Morash et al. showed that minimum essential therapeutic mixtures from the cannabis plant extracts, including CBD, had the greatest therapeutic potential for treating Parkinson's disease using in silico, in vitro, and medium in vivo experimental systems. Using computational models, Davila et al. found interacting loci in the