Evidence map›Paper›PMID 41750227›Full record

ReviewBrain sciences2026

Parkinson's Disease: Conventional Pharmacotherapy, Drug Delivery Innovations, and Emerging Therapeutic Targets.

Deepika Raina, Chirag Marwah, Siddharth Singh, Ansab Akhtar

Abstract readReview
In one paragraph

Review in Brain sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Journal of experimental pharmacology · 2026
    Article
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

4 authors.

Deepika RainaSchool of Pharmacy, Graphic Era Hill University, Dehradun 248002, Uttrakhand, India.ORCID 0000-0003-1859-0646
Chirag MarwahChikara College of Pharmacy, Chitkara University, Rajpura, Patiala 140401, Punjab, India.ORCID 0009-0001-4929-9619
Siddharth SinghFaculty of Pharmacy, School of Pharmaceuticals and Population Health Informatics, DIT University, Dehradun 248009, Uttrakhand, India.ORCID 0000-0003-1699-2561
Ansab AkhtarLouisiana State University Health Sciences Center, Neuroscience Center, School of Medicine, New Orleans, LA 70112, USA.ORCID 0000-0002-4839-4454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a progressive neurodegenerative disorder characterized by motor symptoms (bradykinesia, rigidity, resting tremor) and a wide range of non-motor features. The core pathological process is degeneration of dopaminergic neurons in the substantia nigra pars compacta, leading to striatal dopamine deficiency, while additional neurotransmitter systems contribute to non-motor symptoms. PD is a common age-related disorder; global estimates for 2019 indicate that more than 8.5 million people were living with PD, and prevalence increases steeply with age. Current pharmacological therapy is mainly symptomatic and is centered on levodopa and other dopaminergic strategies, but treatment response can be limited by motor fluctuations, dyskinesia, and adverse effects. Therefore, formulation and delivery innovations (e.g., dispersible preparations, intestinal gel, and continuous infusion approaches) aim to stabilize drug exposure and improve convenience, especially in patients with swallowing difficulties or advanced disease. This review summarizes conventional drug classes and their dosage forms, highlights formulation-driven strategies to improve efficacy and tolerability, and outlines emerging pathways and targets being explored for future therapies.

Indexed as

dopaminedosage formsnovel targetsParkinson’s diseasepotential drugssubstantia nigra

Identifiers

PMID41750227
PMCPMC12939244

What Socratic 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 Socratic graph.