ReviewInternational journal of nanomedicine2026
Breaking the Black Box: Revolutionizing Traditional Chinese Medicine with Formula-Derived Nanoparticles.
Review in International journal of nanomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional Chinese medicine (TCM) formulas produce distinctive multi‑target synergistic therapeutic effects governed by the monarch, minister, assistant, and guide compatibility principle for diverse chronic and refractory disorders. Nevertheless, a four‑layer "black‑box" barrier-encompassing poorly characterized bioactive constituents, ambiguous inter‑component synergistic mechanisms, untraceable in vivo transport profiles, and low oral bioavailability-substantially hinders TCM modernization and global adoption. Most existing reviews focus on single‑component nanocarriers or plant‑derived extracellular‑vesicle‑like particles; few comprehensively investigate nanoparticles generated from complete multi‑herb TCM decoctions while integrating material characterization, mechanistic dissection, and clinical‑regulatory translational bottlenecks. This review addresses this literature gap by focusing on formula‑derived nanoparticles (FDNs), fabricated from intact TCM‑decoction extracts via natural self‑assembly or degradable exogenous carrier‑assisted assembly. FDNs largely retain native component ratios and synergistic bioactivities while enabling precise targeted delivery of herbal constituents. We summarize three mainstream FDN fabrication workflows and establish a comprehensive multidimensional characterization toolkit for assessing physicochemical properties, intermolecular interactions, structural stability, and biocompatibility. Enabled by three quantifiable technical approaches, FDNs can partially mitigate the TCM black‑box dilemma and exert multitarget, precision‑guided intervention against tumors, inflammatory bowel disease, neurodegenerative conditions, and metabolic disorders. Major translational obstacles include non‑standardized industrial scale‑up, insufficient biological barrier penetration, poorly defined molecular interaction mechanisms, absence of unified multicomponent quality benchmarks, incomplete global regulatory frameworks, high manufacturing costs, and risks of poor batch‑to‑batch reproducibility. Priority future directions cover intelligent biomimetic carriers, multiomics‑supported molecular simulation, and end‑to‑end standardized clinical translation, advancing empirical TCM‑formula therapeutics toward standardized, quantifiable high‑precision modern medicine. This review outlines actionable research gaps and a phased translational roadmap to guide investigations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.