Evidence map›Paper›PMID 36133818›Full record

ReviewFrontiers in pharmacology2022

Parkinson's disease, dopaminergic drugs and the plant world.

Peter Kempster, Andrew Ma

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
8.4field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Neuroprotective Potential of Major Alkaloids fromInternational journal of molecular sciences · 2025
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
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

2 authors at 2 institutions in 1 country.

Peter KempsterNeurosciences Department, Monash Medical Centre, Clayton, VIC, Australia.
Andrew MaNeurosciences Department, Monash Medical Centre, Clayton, VIC, Australia.
Monash Medical Centre · AUMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A large proportion of drugs used for the treatment of neurological disorders relate to naturally occurring compounds, many of which are plant alkaloids. This is particularly true of Parkinson's disease (PD). The pharmacopoeia of PD has strong botanical origins, while major discoveries about the neurochemistry of the basal ganglia came from the study of phytochemicals. This article narrates the development of pharmacotherapy for PD in terms of historically important plant-derived substances-tropane and hamala alkaloids, reserpine, levodopa, apomorphine, and ergoline dopamine receptor agonists. Alkaloids are nitrogen-containing secondary metabolic products that tend to be biologically active. They appear to be involved in plants' adaptation to herbivorous animals, though their exact purpose and the ways in which they work are uncertain. A sizable group of alkaloids influence animal dopaminergic systems, highlighting a key biological relationship. While animals must acquire the energy that plants harness, plants need to engage with the animal attribute that they lack-movement-in order to maximize their reproductive fitness. Neuroactive flowering plant compounds have been interacting with vertebrate and invertebrate motor systems for 100 million years. A deep evolutionary connection helps to explain why the pharmacological treatment of PD is imprinted with the power of these mysterious botanical chemicals.

Indexed as

dopaminelevodopaParkinson’s diseasephytochemicalsplants

Identifiers

PMID36133818
PMCPMC9483127
OpenAlexW4294617918

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.