Back

Challenges Hindering the Translation of Plant Anticonvulsants from Bench to Bedside: A Scoping Review

Opoku, J. A.; Amoateng, P.; Kukuia, K. K. E.; Ankamah, S.; Oppong Bekoe, E.; Adjei, S.; Osei-Safo, D.; Kombian, S. B.

2024-11-15 neurology
10.1101/2024.11.13.24317300 medRxiv
Show abstract

AimTo identify the challenges that hinder the successful translation of anticonvulsants from plant origins, from preclinical research to clinical application. DesignThis review was conducted using the Joanna Briggs Institute (JBI) guidance for a scoping review. Data SourcesThe following bibliographic databases were searched between November 11th and 20th, 2023: PubMed, Scopus, Google Scholar and ClinicalTrials.gov. The search in Google Scholar was done via a third-party application called Harzings Publish or Perish, where the search results limit was set at 1000 relevant articles. After full-text review, the reference lists of the included articles were examined to identify additional sources. Review MethodsThe Population, Intervention, Comparison, Outcome, Time, Setting (PICOTS) framework was employed in developing the eligibility criteria. The articles were uploaded to Rayyan.ai for title and abstract screening, as well as full-text article review. Data was extracted and synthesised from included studies using a table. ResultsThirty-seven articles met the eligibility criteria. From these articles, six distinct categories of challenges were identified: (1) methodologic issues; (2) insufficient evidence to support the use of herbal drugs in clinical settings; (3) financial disincentives; (4) challenges in obtaining natural products or its active principles; (5) poor pharmacokinetics; clinical trials and regulatory challenges. ConclusionUnderstanding and effectively addressing these challenges will ensure that more plant-based anticonvulsants are successfully translated into clinical practice, thereby enhancing the treatment of epilepsy. This review also made recommendations to tackle some of these challenges that plant anticonvulsants face in the drug development process.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
European Journal of Pharmacology
15 papers in training set
Top 0.1%
13.7%
2
PLOS ONE
5266 papers in training set
Top 18%
10.4%
3
Epilepsy Research
14 papers in training set
Top 0.1%
10.4%
4
Frontiers in Neurology
102 papers in training set
Top 0.6%
5.9%
5
Neuroscience & Biobehavioral Reviews
43 papers in training set
Top 0.1%
4.3%
6
Scientific Reports
3612 papers in training set
Top 28%
3.6%
7
Brain and Behavior
43 papers in training set
Top 0.2%
3.4%
50% of probability mass above
8
Heliyon
152 papers in training set
Top 1%
3.4%
9
Epilepsia
56 papers in training set
Top 0.3%
2.6%
10
eLife
5828 papers in training set
Top 39%
2.5%
11
Frontiers in Pharmacology
111 papers in training set
Top 2%
1.6%
12
Antioxidants
25 papers in training set
Top 0.3%
1.4%
13
Life Sciences
27 papers in training set
Top 0.6%
1.4%
14
International Journal of Molecular Sciences
494 papers in training set
Top 10%
1.2%
15
Contemporary Clinical Trials Communications
11 papers in training set
Top 0.3%
1.2%
16
Frontiers in Neuroscience
256 papers in training set
Top 5%
1.1%
17
Archives of Clinical and Biomedical Research
28 papers in training set
Top 0.8%
1.1%
18
Epilepsy & Behavior
12 papers in training set
Top 0.2%
1.1%
19
Journal of Biomolecular Structure and Dynamics
43 papers in training set
Top 0.9%
1.1%
20
Frontiers in Oncology
103 papers in training set
Top 3%
0.9%
21
Health Science Reports
13 papers in training set
Top 0.5%
0.9%
22
Neuroscience
97 papers in training set
Top 2%
0.9%
23
European Journal of Neurology
22 papers in training set
Top 0.8%
0.6%
24
Progress in Neuro-Psychopharmacology and Biological Psychiatry
48 papers in training set
Top 1%
0.6%
25
Acta Neuropsychiatrica
14 papers in training set
Top 0.7%
0.5%
26
Neurobiology of Learning and Memory
40 papers in training set
Top 0.6%
0.5%
27
PLOS Digital Health
106 papers in training set
Top 5%
0.5%
28
PeerJ
308 papers in training set
Top 14%
0.5%
29
Biomolecules
100 papers in training set
Top 4%
0.5%
30
BMC Neurology
14 papers in training set
Top 0.9%
0.5%