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424 Herbal Pharmacopeia
immortalized abnormal cell lines. However, the use of donor- derived human cell lines such as peripheral blood leukocytes resulted in inter- individual variations in immune responses during immunotoxicity assessment (Tirumala etal., 2021). Relevant and suitable tests should be developed and strategies adopted for proling the immune function of the whole organism after the administra­tion of NP by the desired route of administration (Halamoda- Kenzaoui etal., 2019b).
Some recent trends and advancements in nanotoxicology assessment are discussed below.

20.3.3 UtIlIzAtIon of AdVAnced AnAlytIcAl tools

xCELLigence utilizes a low electrolyte impedance interface for real- time monitoring of the various cellular processes. Since it does not use any dye or reagent, the risk of interference by NPs has been minimized. Results obtained with several inorganic NPs from this in vitro, non- invasive technique have been found to match with data obtained from conventional toxicity assays . The use of uores­cent probes provides sensitive and accurate quantication of intracellular ROS levels. However, the method involves irreversible oxidation of the cellular constituents, leading to permanent damage, and thus cannot be adopted during clinical trials. Interference with the conventional COMET assay has been overcome by incorporating NPs in a gel and the discovery of the COMET Chip. Development and improvements in the Conventional FADU (Fluorimetric Detection of Alkaline DNA Unwinding) method have been possible with the use of a robot for the handling of samples and the dispens­ing of reagents in a light- and temperature- protected controlled environment . The improvised tech­nique utilizes fewer cells (Tirumala etal., 2021). Quartz crystal microbalance- dissipation monitoring (QCM- D) shows promise in assessing the extent of binding and deposition of NP onto the cell surface and subsequent losses in membrane integrity. The electrochemical technique is a high- throughput technique that measures impedance behavior and enables real- time and in situ monitoring of phe­nomena occurring at the NP–membrane interface in cells, tissues, organs, fetuses, and whole body of an organism (Qiu etal., 2018). The chemical reactivity of surface- coated NPs and biophysical interactions can be investigated and monitored by electrochemical impedance spectroscopy (ECIS) (Shinde etal., 2020). High- throughput screening (HTS) techniques facilitate the rapid detection of analytes in small volumes of samples in a single shot, saving time, money, manpower, and resources. Standard analytical methods can be transformed into HTS methods by automation and increasing the sensitivity and efciency of existing methods, such as high- throughput ow cytometry, high­throughput micronucleus assay, high- throughput COMET assay, and H2AX assay. Large number of samples can be analyzed through the integration of HTS techniques with high- content analysis or high- content imaging. High- content image- based screening can be used for the training of predictive models and to enhance the accuracy of toxicity predictions (Singh & Gauri, 2023; Forest, 2022).

20.3.4 In sIlIco ApproAch: nAno- QsAr

Prediction of Quantitative Structure- Activity Relationship of NPs (or nano- QSAR) is a highly promising technique that saves time, money, and resources in comparison to the above- mentioned conventional experimental nanotoxicity assessment techniques. In this approach, suitable, well­conceptualized molecular descriptors, data- driven articial intelligence, and machine learning- based tools are employed to establish the cause- effect relationship between in vivo pharmacokinetics and toxicity data with NP features, without performing any in vitro or in vivo experiments (Singh etal., 2023; Tirumala etal., 2021; Pikula etal., 2020). The concept of nano- QSAR is built on the simi­larity between biological responses from nanomaterials and identical molecular structures. Nano­QSAR has been successfully employed to explore the toxicity potential of several metallic oxide NPs towards E. coli. The interpretation of outcomes of the models revealed NP composition to con­tribute signicantly to NP- induced toxicity with insignicant roles of size or shape, as discussed in the previous sections. The results from studies on bacteria were validated with experiments on mam­malian cells, the HaCaT cell lines. Similar nano- QSAR models have also been utilized to explore
Safety Proles and Potential Toxicological Concerns of Herbal Nanomedicine 425
and predict the uptake of metallic oxide NPs by pancreatic cancer cells (PaCa2). Nano- QSAR can generate 1D, 2D, and 3D models. Limitation with highly efcient predictive tools is the need for extensive reliable, and high- quality databases and datasets for the training and validation of models. Missing data produce conicting results. Although sufcient data are available with nanomedicines, most of them are heterogeneous which are unsuitable for model development. Another disadvantage of the in silico approaches is that the data cannot be used for establishing in vitro–in vivo correlation. Molecular descriptors used during model development are based on pristine NPs rather than on the NPs in biological systems, where substantial alterations in their surface properties and character­istics occur (Verma etal., 2023; Forest, 2022). Data mining, which involves assembling data from different sources and various studies involving different media, cells, and chemicals, can generate a huge database that can be processed appropriately to extract useful information (Singh etal., 2023). Improvements in prediction capacity and, hence, fabrication and characterization strategies have been possible by the de- convolution of variables with a known tendency of interaction and inter­ference, thereby facilitating the unraveling of the different types of interaction (Qiu etal., 2018). Another advancement employs periodic table- based molecular descriptors in nano- QSAR, which can bridge the current gap in nanotoxicity studies (Roy & Roy, 2023).

20.3.5 GroUpInG/reAd-Across technIQUe

In this approach, the prediction of adverse effects is carried out by the acquisition of data from sub­stances identical to test substances (in this case, nanomaterials) under investigation with respect to physicochemical and structural properties. For successful implementation, chemometric tools are employed, namely hierarchical clustering (HC), principal component analysis (PCA), and random forest variable selection (Forest, 2022).

20.3.6 GenetIc ApproAches

Since uorescent probes(dyes) employed for ROS quantication induce permanent oxidation, they may be replaced by designing genetically encoded reporters or redox- sensitive uorescent protein with the ability to target typical cellular compartments. This approach is likely to be a useful tool in the future in determining the genetic susceptibility of vulnerable individuals to certain phenotypes of nanotoxicity and will also form the foundation for personalized medicines. However, the strategy involves technical expertise and is not always economically possible at present. Conventional geno­toxic assessment methods have been replaced by GreenScreen HC, BlueScreen HC, and ToxTracker reporter assays (Akcan etal., 2020; Tirumala etal., 2021).

20.3.7 UtIlIzAtIon of VAlIdAted hUMAn cell lInes In IMMUnotoxIcIty AssAys

To overcome the issues of inter- individual variation in immune responses from donors, recently developed immunotoxicity assays utilize validated human cell lines such as human Jurkat T- cell, human lymphoid T- cell (MOLT- 4) or B- cell (IM- 9), human acute myeloid leukemia HL- 60 cells, human- based skin explant, and so on. For accurate prediction of delayed hypersensitivity reac­tions from engineered nanomaterials, tests like human cell line activation test (hCLAT) and myeloid U937 skin (sensitization) test (MUSST) have been developed (Tirumala etal., 2021).

20.3.8 In VItro cArcInoGenIcIty AssessMent wIth trAnsforMed cells

In this approach, the European Union Reference Laboratory for Alternatives to Animal Testing and other research groups have performed in vitro carcinogenicity assessment with transformed cell­based models such as in vitro Syrian hamster embryo cell transformation and the Balb/c3T3 A31­1-1 mouse model. The endpoints for toxicity identication in this technique have been recognized
426 Herbal Pharmacopeia
as changes in morphology, colony formation, and the growth and formation of criss- crossed cells or the piling of cell foci (Tirumala etal., 2021).

20.3.9 dnA BArcodInG

DNA barcoding is an innovative technique employed for the simultaneous screening of whole organisms for the biodistribution of innumerable NPs (size > 100nm) to target sites and off- target accumulation, leading to organ toxicity. The data- intensive tool needs help from bioinformatics methods such as the unbiased Euclidean clustering strategy. It has been established from several studies that NPs interact with some specic categories of immune cells (Kantak etal., 2023). The technique possesses a high potential for assessing immune- and genotoxicity accurately in in vivo models (Lokugamage etal., 2018).

20.3.10 systeMs toxIcoloGy: ‘oMIcs’ technoloGy

Systems toxicology is a discipline that attempts to amalgamate conventional toxicity assessment techniques for the better and realistic interpretation of data and to ensure the availability of safe nanomedicinal formulation. ‘omics’ lies at the heart of systemic toxicology. The ‘omics’ technolo­gies are versatile tools that enable the quantitative and qualitative description of complex, biological, adaptive changes, and behaviors. They can assess cellular stress at multiple levels and cross- talk or interactions among different levels in response to low doses of nanomedicines, applicable in clinical settings. The methods reect and correlate genotypic and phenotypic experimental observations. They provide molecular information for in- depth analysis of underlying mechanisms and cellular pathways leading to toxic effects. ‘omics’ provides a functional readout of cellular state from all aspects. Nanoparticle- induced interference observed in conventional cytotoxicity assays is absent when ‘omics’ technologies are employed (Abdelkader et al., 2023). However, highly advanced infrastructure and expertise are essential prerequisites to the adoption of ‘omics’ in nanotoxicity assessment (Forest, 2022; Fröhlich, 2017).
Studies of ‘omics’ encompass proteomics, lipidomics, transcriptomics, genomics, metabolomics, and toxicogenomics. Of these, metabolomics is unique since the metabolome of individuals is generic, whereas protein, gene, or transcript varies with individuals. The integration of different ‘omics’ techniques across the multiple ‘omics’ layers, and the combination of integrated ‘omics’ with in vitro tests and advanced instrumentation techniques, such as mass spectrometry and articial intelligence- and machine learning- enabled statistical tools, enhance sensitivity and facilitate the detection and proling of several endogenous small molecules. The application of high- resolution magic angle spinning (HR- MAS) NMR- based metabolomics study revealed that silver nanoparticle­induced oxidative stress led to the metabolic conversion of lactate and taurine to pyruvate (Mengying et al., 2015). The intersection of metabolomics, mechanobiological tools, bioinformatics, and machine learning algorithms revealed ROS production, alteration in glucose metabolism, and lower ATP synthesis in HEK293 cells following treatment with a low dose of magnetic silica nanoparticles containing Rhodamine B isothiocyanate ([MNPs@SiO2(RITC)) (Shin etal., 2021; Shim etal., 2012).

20.3.11 nAno- InforMAtIcs dAtABAse

European Union–United States Roadmap Nanoinformatics 2030 enlisted several databases related to nanomaterials of both the European Union and the United States such as, eNano- Mapper, nanoHub, DaNa, the Online Chemical Modeling Environment (OCHEM), the NanoExposure and Contextual Information Database (NECID), the NanoDatabank, the Nanomaterials–Biological Interactions Knowledgebase, Nanominer, NanoMILE, and ModNanoTox. These databases have organized, stored, shared, analyzed, and ensured the application of data obtained from various sources and laboratories on nanomaterials (Pikula etal., 2020).
Safety Proles and Potential Toxicological Concerns of Herbal Nanomedicine 427

20.3.12 MIscellAneoUs AdVAnced ApproAches In nAnotoxIcoloGy AssessMent

Approaches such as testing species sensitivity distribution can be employed to predict the maximum concentration of NPs in the surrounding environment and enable band gap analysis to investigate the effects of chronic exposure to metallic nanoparticles . Computational models have been designed to fulll regulatory needs where potential risks from nano- formulations can be predicted before preclinical and clinical studies in animals and humans. In compliance with this specic require­ment, projects that came into the forefront are NanoTEST, NANoREG, and NANoREG2. The out­comes of these projects will provide a new direction to the taxonomy of NPs based on toxicity (Kad etal., 2022). Several of the tools, techniques, and approaches employed in experimental toxicology, advanced instrumentation techniques, and systems toxicological approaches have been combined and incorporated into the framework of Adverse Outcome Pathways (AOPs). Some AOPs are rel­evant in the study and assessment of nanotoxicology, e.g., AOP 173, AOP 303, AOP 237, and AOP
302. These pathways helped in describing and elucidating hallmark features and endpoints of the disease and nano- formulations under investigation (Forest, 2022). To minimize toxicity, a new para­digm in the synthesis and fabrication of NPs is the eco- friendly transition to green nanotechnol­ogy or the green synthesis of metallic NPs with the help of microbes and secondary metabolites present in vegetable extracts (Anand etal., 2022; Hu etal., 2022; Martinez etal., 2021; Osman,
2019). Figure 20.2 highlights various techniques and tools used in the safety and risk assessment of nanomedicines.
20.4 THE NANOTOXICOLOGICAL CLASSIFICATION SYSTEM:
A NEW HORIZON
A surge in the development of nano- formulations for herbal medicines has necessitated the sys­tematic classication and categorization of nanomaterials based on their adverse effects, risks, hazards, and toxicity. The DF4nanoGrouping has devised a functionality- driven scheme for the categorization of NPs, starting from simple to complex events attributed to intrinsic characteris­tics, biological system- dependent properties, and toxicological manifestations. In this system, there are four classes of nanomaterials, namely, soluble, biopersistent –high- aspect ratio, passive with no biological effects and active formulations exhibiting adverse effects related to their surface
FIGURE 20.2 Techniques and tools for safety and risk assessment of nanomedicines.
428 Herbal Pharmacopeia
properties. For this classication, both in vitro and in vivo data have been utilized. In response to the need to reduce the number of descriptors, DF4nanoGrouping has identied structural attributes of nanomaterials and calculated property with quantum mechanical signicance. It has been previ­ously reported by the National Nanotechnology Initiative that quantum effects are governed by size. However, DF4nanoGrouping is not ideal for nano- formulations for drug delivery (Gajewicz etal., 2018; Siegrist etal., 2019).
In the Nanotoxicological Classication System (NCS), nanomaterials have been classied into four types based on their size and biodegradability, governed by route of administration and biocom­patibility of the surface. Class I and Class II are nanomaterials with size greater than 100 nm and are either biodegradable or non- bio- degradable, respectively. These NPs are not endocytosed. Class III and Class IV are meant for biodegradable and non- biodegradable NP with size less than 100 nm and hence are endocytosed and are more bioperistent, identical to Class II. These four classes can further be subclassied, leading to eight classes in which physicochemical surface properties are also taken into consideration. Other classication systems have integrated concepts of toxicology, risk assess­ment modeling, and the multi- criteria decision approach (Laloy, 2021; Keck & Müller, 2013).
A different system of classication of NPs can also be adopted based on the occupational hazards associated with the production of these nanomaterials. In this system, the NPs are categorized into three classes; namely, Class 1 for water- soluble NPs e.g. sucrose or siloxane NPs; Class 2 for syn­thetic, non- brous and persistent NPs as silver, gold, metal, and metallic oxide NPs; and, nally, Class 3 for brous, non- soluble carbon nanotubes (Osman, 2019).
Based on hazard assessment as per the Hazard Evaluation Strategy (HES), there are four catego­ries of NPs: Category I, with low cellular uptake and low intracellular persistence (PEGylated super­paramagnetic iron oxide nanoparticles or SPIONs); Category II, with high cellular uptake and low intracellular persistence (uncoated SPIONs); Category III, with low cellular uptake and high intra­cellular persistence (SPIONs coated with a layer of polyglucose sorbitol carboxymethylether); and Category IV, with high cellular uptake and high intracellular persistence (in situ- coated lauric acid ferrouid) (Siegrist etal., 2019).
20.5 INTERNATIONAL GUIDELINES ON THE SAFETY AND TOXICITY
ASSESSMENT OF HERBAL NANOMEDICINES
The domain of herbal nanomedicines is gradually expanding with more scope for development in the near future. Quality control requirements for the establishment of monographs for herbal raw materials, intermediates, and nished products and the subsequent validation of protocols and tech­niques can be found in different versions of guidelines from the European Medicines Agency, the Pharmaceutical Inspection Co- operation Scheme, and in the WHO guidelines (EMA 2022; WHO guidelines 2011). The International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) issued guidelines for preclinical safety assess­ment, before conducting clinical trials for all medicinal products also including nano- formulations. However, lacunae exist in the guidelines as they were initially developed for conventional formula­tions, bulk ingredients of macro- dimensions, and not for formulations of nano- dimensions. Data obtained from such studies failed to represent the clinical situation in actual practice. In 2011, the Food and Drug Administration (FDA) rst realized the need for developing guidelines for nano­medicines for regulatory control. The need was felt to make public aware about differences in prop­erties between nanoparticles and the bulk chemical constituents of nanoparticles (Foulkes etal.,
2020). Later, in 2017, FDA proposed the consideration of nano- sized medicinal formulation on a product- specic basis or a case- by- case basis, because of the unique features of each formulation, which was attributed to nano- dimensions. The regulatory authority has advised manufacturers to enter into consultation with the FDA in the development stage of nano- formulations, to avoid risk of rejection on the grounds of being toxic or being unable to provide sufcient data and documents in support of different phenotypes of nanotoxicity. Similarly, Medicines and Healthcare Products
Safety Proles and Potential Toxicological Concerns of Herbal Nanomedicine 429
Regulatory Agency (MHRA), the regulatory body for medicinal products in the UK also has no single guideline, designed specically for nanomedicines, and proposes the manufacturers to con­sult with the MHRA Innovation Ofce. They also support case- by- case consideration of products with respect to toxicity assessment. The EU and Canada adopt a similar approach; indeed, inter­national regulatory authorities are constantly rening the guidelines with new inputs from highly advanced techniques and novel strategies employed in nanotoxicological assessment to produce reliable experimental data and to minimize inter- batch variation in quality and toxicity proles. The HES is the rst- of- its- kind three- tier strategy, especially aimed at evaluating the toxicity of injectable, engineered nanomedicines, based on exclusion criteria. The HES enables application­oriented decision- making in an effective manner. HES is unique from several other toxicity control approaches in that it has focussed on monitoring microbial contamination and contamination with endotoxins in the case of nanotherapeutics. It has stressed that any attempt to minimize bioburden in the nished product should not affect or alter NP characteristics, essential for their clinical applica­tions (Siegrist etal., 2019). The European Nanomedicine Characterization Laboratory (EUNCL) and the Regulatory Science Framework for Nano(bio)material- based Medical Products and Devices (REFINE) are two projects funded by the Horizon 2020 Research and Innovation programme. These projects are supported by the Decision Support System (Liu etal., 2022; Foulkes etal., 2020; Halamoda- Kenzaoui etal., 2019b). In one development, ISO/TC 229 (ISO/TC 229 N 673) devel­oped proposals specically for nanoparticles (Halamoda- Kenzaoui et al., 2019a). As mentioned previously, nano- formulations differ from conventional formulations with respect to excipients. International regulatory bodies should adopt consensus on the contribution of the excipient to the production of nanoparticles as a whole and the regulatory aspects that should be devised to t the purpose and objective (Hemmrich & McNeil, 2023). During the assessment of nanotoxicity, little attention is paid to studying the eco- toxicological effects of the burgeoning development, use and the disposal of nanoparticles (Halamoda- Kenzaoui etal., 2019b). Moreover, the heterogeneity of nano- formulations, along with opportunities for administration by various routes for the ameliora­tion of symptoms of different tissues, organs, and systems, create challenges in developing universal guidelines for safety and toxicological assessment for all nanomedicines under a single umbrella (Ramanathan, 2019). It has become obvious to show that the benets of nano- drug delivery systems outweigh the risks. However, EMA has mandated the submission of data regarding environmental risk assessment (ERA) of drug products for human use, as an essential component of marketing authorization. Conventional methods for the estimation of the partition coefcient of materials in the octanol- water system will provide inaccurate data with nanomaterials as the method is based on the principle of equilibration. In the case of nanomaterials, interactions at the nanoparticle–cell membrane interface are highly dynamic manifesting non- equilibrium behavior. The Organization for Economic Co- operation and Development (OECD) test guidelines from 2006 are being revised to incorporate suitable guidelines for nanomaterials so that reliable data can be obtained to ensure safety and efcacy (OECD, 2017). For this, 91 reports on the safety of manufactured nanomaterials have been submitted up to 2019, revealing the increased awareness and scope of nanotoxicologi­cal aspects. In 2019, the OECD drafted two guidelines on the physical- chemical decision frame­work for informed decisions and principles for measurements and the reporting of physicochemical parameters for risk assessment of manufactured nanomaterials to assure relevance and reliability (Pikula etal., 2020). Under the aegis of the Government of India’s Nano Mission, a Nanoregulatory Task Force has been constituted, which has guided the Center for Knowledge Management of Nanoscience and Technology to address the issues of occupational hazards associated with inad­vertent exposure during the manufacture and quality control of nanomaterials in general, among the industry personnel. Extensive research has been undertaken to collect pieces of evidence of sig­nicant adverse effects of nanomaterials on human health. The draft guidelines aim to recommend strategies for the safe production, handling, use, and disposal of nanomaterials and implement them appropriately for societal benets in a wider context (DST Guidelines, n.d.). In India, an important guideline for the evaluation of nanopharmaceuticals has been brought out by collaborative efforts
430 Herbal Pharmacopeia
from the Department of Biotechnology, the Ministry of Science and Technology, the Indian Council of Medical Research and Central Drugs Standard Control Organization, the Ministry of Health and Family Welfare (Gupta etal., 2019). Standardized genotoxicity assessment protocols have not yet been developed (Tirumala et al., 2021). The issuance of formal regulatory guidelines regarding safety and toxicity proling of nanomedicines is essential to prevent disinvestment in this highly impactful technology (Mahapatra etal., 2018).
As discussed previously, personnel involved in manufacturing of nano- formulations may be inad­vertently exposed to the same which may prove to be hazardous. Several authorities and organiza­tions, such as the National Institute for Occupational Safety and Health (NIOSH), the Industrial Technology Development Organization (NEDO), and the American Conference of Governmental Industrial Hygienists (AGGIH), have recommended occupational exposure limits to nanomaterials (Tirumala etal., 2021; Osman, 2019).
The preceding discussion reveals that considerable efforts have been made internationally to formulate guidelines related to nanomaterials, and nanomedicines in general, but that very few have been formulated with herbal nanomedicines in mind. It is to be noted that as yet no uniform interna­tionally and universally accepted and harmonized guideline exists for nanomedicines. The unifying concept of most of the guidelines is, however, to adopt a case- by- case approach for nanomedicines, taking into consideration the signicant impact of nanomaterials on human health, industry person­nel, non- target organisms in the surrounding environment, and, nally, on the abiotic components of the ecosystem. Moreover, none of these guidelines should be implemented for natural and biological nanomaterials or with conventional drug delivery systems with the insignicant and incidental pres­ence of nanomaterials.
These guidelines will serve as useful documents for researchers, manufacturers, and stakeholders to engage in innovative and novel products, pave the way for the optimization of current research in the domain of development of nanopharmaceuticals in compliance with regulatory requirements, the translation of nano- formulations from bench to bedside with minimum risk of toxicity to man and environment and will promote ground- breaking advances for signicant societal and economic impact.
One important aspect that needs to be strictly monitored by the regulatory bodies is the possible availability of nano- size pharmaceutical nished products as future over- the- counter (OTC) prod­ucts. Herbal products are available as OTC products in the unregulated market of several of the world’s developing nations. Yet the same marketing strategy may prove to be harmful to end- users. Nano- formulations are designed to provide controlled release over prolonged duration and if they cannot be validated to be safe for prolonged use, they may precipitate serious toxic consequences. Therefore, regulatory authorities should devise an appropriate framework to prevent the entry of nano- formulations as OTC products into the market (Foulkes etal., 2020) Further consideration of the durability of the complex formed between nanocarrier and the encapsulated payload in the envi­ronment is necessary as the drug, once released, may have undesirable effects on uptake by soil bacteria or other animals. The OECD is revising guidelines for the assessment of the hazard poten­tial of NPs in the aquatic environment (Mahapatra etal., 2018). One area where work needs to be done is the framing of guidelines for the estimation of immunotoxic effects, especially for nano­formulations over and above ICH S8 guidelines (Halamoda- Kenzaoui etal., 2019b).
Recently, EU has adopted a “Green Deal”, in which the ultimate objective is to adopt safe and sustainable practices in the design of nanomaterials with the ultimate goal of protecting the environ­ment for future generations, giving birth to the concept of “Safe- and- sustainable- by- design” (SSbD), which is identical to the concept of Quality- by- Design adopted for the manufacture of any medicinal product and an improvement over earlier Safe- by- Design (SbD) frameworks. The GoNanoBioMat SbD approach is the SbD concept, applicable for polymeric nanomaterials for pharmaceutical appli­cations, ensuring the use of safe materials, products, production techniques, safe use (especially with respect to suspensions, sunscreens, cosmetics, etc.), and the disposal of leftover products after use. Implementation of this production strategy from the onset ensures the affordability and
Safety Proles and Potential Toxicological Concerns of Herbal Nanomedicine 431
availability of the product with minimal risk to humans, personnel in the manufacturing industry, non- target organisms, environment, in all stages of the lifecycle of the product and not only the nal product (Bhat etal., 2023; Furxhi etal., 2023; Soeteman- Hernandez etal., 2019). ICH and OECD should incorporate the principles of SSbD in their revised guidelines for the complete nanotoxico­logical proling of nanomedicines (Schmutz etal., 2020).
20.6 CRITICAL CHALLENGES IN THE DEVELOPMENT OF HERBAL
NANOMEDICINES
No gold standard exists for the calculation and estimation of the dose, time, and duration of treatment with herbal nanomedicines. There is a lack of literature and scientic reports on the dosimetry of nanomedicines in general. Dosimetry should be clearly understood as biological response and toxic effects are directly related to dose. A consensus should be adopted in dening and using various terminologies associated with nanomedicine dosimetry. For conventional drug delivery platforms, the dose is usually expressed as amount or as concentration. However, with nano- formulations, this system may prove to be inefcient and incorrect. Since previous sections have repeatedly focussed on the role of size and specic surface area of nanoparticles with regard to safety and efcacy, the dose calculation should preferably be based on mass, surface area, or number of particles to avoid inconsistency in dose and interpretation of outcomes and effects (Hussain etal., 2015).

20.7 CONCLUSION

Continuous involvement and endeavors of the scientic fraternity in the area of nanotechnology have facilitated rapid and tremendous progress in enriching the knowledge base, resulted in innova­tive approaches in delivering herbal medicines, extracts, and phytoconstituents, enabled great strides in the development of characterization techniques, and have driven the regulatory authorities to for­mulate effective guidelines in controlling and monitoring the safety and toxicity of nanopharmaceu­ticals. The collaborative efforts and expertise of academia, industry, government agencies, and other stakeholders have contributed signicantly to these advancements. Although, several in vitro, in vivo, and highly sophisticated instrumental techniques, in silico and computational predictive tools, and nano- informatics databases are available , no single assay or technique can provide a compre­hensive quality- efcacy- safety prole of herbal nanomedicines and can establish a causal relation­ship between physicochemical attributes and pharmacokinetic behavior of nanoparticles. Intrinsic and extrinsic toxicity characteristics of herbal medicines, and existence of the “nano- paradox” are the barriers to translating the effective products from laboratory to the bedside of the patient. In an effort to overcome these formidable hurdles in the successful commercialization of nanomedicines, the regulatory authorities should work round the clock to bridge the gap between existing guide­lines and future needs and formulate and implement guidelines, specically for herbal nanomedi­cines, taking care not to overburden the manufacturers and investors with statutory prejudices and provision. Special attention should be paid to standardizing dosimetry protocols to avoid over- or under- estimating toxicity and efcacy. The dissemination of reports in the public domain should be ensured. The ultimate goal of the pharmaceutical industry remains amelioration of pathological conditions to enable mankind to lead a quality life, with minimal impact on Mother Nature. Safe and sustainable practices should be adopted proactively from concept initiation through all stages of the product lifecycle.

ACKNOWLEDGEMENT

The authors express their gratitude to NSHM Knowledge Campus, Kolkata – Group of Institutions, Kolkata for offering the necessary facilities to conduct the data search for this chapter.
432 Herbal Pharmacopeia

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