Evidence map›Paper›PMID 33805869›Full record

ReviewMolecules (Basel, Switzerland)2021

Alkaloids Used as Medicines: Structural Phytochemistry Meets Biodiversity-An Update and Forward Look.

Michael Heinrich, Jeffrey Mah, Vafa Amirkia

Open access · goldAbstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers.

0numbers the graph read from it
0cells of the map it votes in
103citing papers in PubMed
46.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

103 citing papers in PubMed, 335 citations in OpenAlex.

  1. Review
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  7. Usambarensine fromACS omega · 2026
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43 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 2 countries.

Michael HeinrichResearch Group 'Pharmacognosy and Phytotherapy', UCL School of Pharmacy, University of London, 29-39 Brunswick Sq., London WC1N 1AX, UK.ORCID 0000-0003-2611-6303
Jeffrey MahResearch Group 'Pharmacognosy and Phytotherapy', UCL School of Pharmacy, University of London, 29-39 Brunswick Sq., London WC1N 1AX, UK.ORCID 0000-0001-8473-3946
Vafa AmirkiaResearch Group 'Pharmacognosy and Phytotherapy', UCL School of Pharmacy, University of London, 29-39 Brunswick Sq., London WC1N 1AX, UK.
University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selecting candidates for drug developments using computational design and empirical rules has resulted in a broad discussion about their success. In a previous study, we had shown that a species' abundance [as expressed by the GBIF (Global Biodiversity Information Facility)] dataset is a core determinant for the development of a natural product into a medicine. Our overarching aim is to understand the unique requirements for natural product-based drug development. Web of Science was queried for research on alkaloids in combination with plant systematics/taxonomy. All alkaloids containing species demonstrated an average increase of 8.66 in GBIF occurrences between 2014 and 2020. Medicinal Species with alkaloids show higher abundance compared to non-medicinal alkaloids, often linked also to cultivation. Alkaloids with high biodiversity are often simple alkaloids found in multiple species with the presence of 'driver species' and are more likely to be included in early-stage drug development compared to 'rare' alkaloids. Similarly, the success of an alkaloid containing species as a food supplement ('botanical') is linked to its abundance. GBIF is a useful tool for assessing the druggability of a compound from a certain source species. The success of any development programme from natural sources must take sustainable sourcing into account right from the start.

Indexed as

AlkaloidsBiodiversityPlants, MedicinalHumansPlant ExtractsAlkaloidsPlant Extractsalkaloid developmentbiodiversitydrug discoverydrug-likeness ethnopharmacologyGBIF (Global Biodiversity Information Facility)modellingnatural products

Identifiers

PMID33805869
PMCPMC8036335
OpenAlexW3138280463

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.