Stimuli-Responsive Nanocarriers for Targeted Drug Delivery: A Review

Vishal H. Thorat, Shagufta J. Pathan, Pramod B. Patil, Pranil B. Toraskar, Sachin S. Mali, Samiksha V. Kamble · Dr. Yashwant Research Labs Pvt. Ltd. · 2026

Smart nanocarriers enhance targeted drug delivery by responding to specific stimuli, improving therapeutic efficacy while minimizing side effects.

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Plain English summary

This review focuses on smart nanocarriers, which are advanced systems for targeted drug delivery that respond to internal and external stimuli. These systems aim to overcome limitations of traditional drug delivery methods, such as low bioavailability and systemic toxicity, by releasing drugs in response to specific conditions, particularly in tumor environments.

Why this matters

The development of smart nanocarriers addresses significant challenges in cancer therapy by enhancing drug delivery accuracy and reducing side effects. This could lead to more effective treatments and improved patient outcomes, making it a critical area of research in healthcare.

Key findings

  • Smart nanocarriers can release drugs based on internal stimuli like tumor microenvironments.
  • External stimuli such as temperature and light can also trigger drug release.
  • These systems enhance therapeutic efficacy while minimizing side effects.
  • Dual- or multi-stimuli responsive systems improve targeting accuracy.
  • Challenges remain in complexity, stability, scalability, and regulatory approval.

What's new

The review highlights the advancements in stimuli-responsive nanocarriers specifically designed for targeted drug delivery in cancer therapy.

Limitations

The abstract mentions ongoing challenges related to complexity, stability, scalability, and regulatory approval that hinder clinical translation.

Commercial context

The abstract does not provide information on commercial availability or readiness.

Publication

Publisher
Dr. Yashwant Research Labs Pvt. Ltd.
Publication date
May 5, 2026
Research type
Paper

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Method note: Summaries and ratings on this page are generated by AI from the abstract only. Read the original paper for full context. · Model: gpt-4o-mini-2024-07-18