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2.10 Modern Analytical Techniques in Classification 31
the separation of chiral compounds, which are molecules that exist in two mirror-image forms [101].
3. High-performance liquid chromatography
In analytical chemistry, HPLC is a method used to separate, recognize, and quantify particular components
in mixtures. Various sources, such as food, chemicals,
medications, biological samples, and environmental
samples, can provide the mixes [102].
A pressurized liquid (the mobile phase) is passed
through a column that is filled with a stationary phase
in HPLC. Typically, the stationary phase is a granular
substance composed of solid particles, such as silica or
polymers. Depending on their chemical characteristics, the components of the sample mixture interact
with the stationary phase to varied degrees. The components separate as they move through the column as
a result of this differential contact [103].
At a steady flow rate, the mobile phase is pumped
through the column. Depending on their affinity for
the stationary phase, the different components of the
sample mixture elute from the column at various
times. Utilizing a range of detectors, including UV-Vis,
MS, and fluorescence detectors, the components are
then identified and measured.
A wide range of chemicals can be separated from and
analyzed using the highly adaptable HPLC technology.
The pharmaceutical, food and beverage, environmental, and research sectors all use it extensively [104].
2.10.2 Role of DNA Barcoding in Accurate Identification and Classification
Over the past 10 years, DNA barcoding has shown to be a
precise and effective method for identifying recognized
species and locating undiscovered ones through the examination of sequence variation in a defined DNA area. Recent
research has demonstrated the ability of DNA barcoding,
together with mini barcoding and meta barcoding, to identify different animal species and separate the real from the
fake in a variety of traditional medicine forms, including
raw materials, processed goods, and intricate concoctions.
In traditional medicinal practice, these methods can also
be used to identify unidentified and endangered animal
species [105]. DNA barcoding is a method of accurately
identifying species. It requires a proper DNA barcode,
which is a standardized sequence of the genome that is
typically less than 1000 base pairs [106]. The barcode needs
to be universal, allowing easy amplification across various
species, and should have minimal insertions or deletions to
simplify sequence alignment. Additionally, its mutation
rate must be adequate to create a barcoding gap, where the
maximum intraspecific variation is less than the minimum
interspecific distance. A relatively new technique for identifying species at the molecular level is DNA barcodingbased molecular identification [106]. In order to verify and
logically and successfully manage the quality of herbal
medications, DNA barcoding must be used in conjunction
with other methods. It has been proposed that the herbal
products might be authenticated by combining metabolomics, transcriptomics, and proteomics with DNA barcoding methods. The future focus in the production of
pharmacopeia monographs for herbal pharmaceuticals
will be on the creation of straightforward, affordable, and
enhanced DNA barcoding techniques to reliably identify
herbal drugs and their related products of therapeutic
value [107]. The DNA barcode is a short DNA sequence
from a standard part of genome used to identify species.
From voucher specimens of genuine plant species, whole
genomic DNA is first extracted. Next, polymerase chain
reaction (PCR) amplification and DNA sequencing of the
barcoding areas are performed using universal primers
(108). These common DNA barcodes can be used to accurately identify herbal therapeutic ingredients and adulterants. We address the identification of herbal medicinal
ingredients using conventional barcodes and other DNA
sequence-based identifiers in this study [109].
2.10.3 Advantages and Challenges of Modern Techniques
There are several issues with herbal medication research
that need to be resolved. These concerns include those pertaining to the study’s design, finances, ethics, product standardization (quality control), and regulatory procedures prior
to registering an experimental new medicine to carry out
significant phase III studies. The World Health Organization
(WHO) published operational recommendations about the
legal prerequisites necessary to facilitate herbal product clinical trials in 2005 [110]. Quality control ensures that the
goods meet standard criteria and are well organized. Such
data on standards are available from official handbooks,
monographs, and pharmacopeias, among other sources
[111]. A variety of analytical methods may be used to evaluate the quality of herbal products. Considerations like validity, precision, accuracy, and method resilience must be made
while selecting analytical techniques. The development of
advanced methods like GC, HPLC, and GC-mass spectrometry (MS) has made it feasible to both identify and quantify
the test chemical (112). Recent years have seen significant
advancements in the reduction of analytical cycle times,
allowing for same- or next-day analysis, which is necessary
for the majority of high thermal efficiency (HTE) procedures. It is imperative that analytical approaches continue to
advance in order to facilitate future HTE setups and prevent
32 2 Classification of Crude Drugs of Natural Origin
analytics from becoming the bottleneck. In addition to
speed, the selection of suitable analytical instruments should
take into account a technique’s applicability across a range
of contexts and its capacity to provide “quantitative” data or
absolute concentrations. The core of an high throughput
analysis (HTA) system is frequently chromatography-based
methods because of its adaptability and selectivity. Since
relative concentrations may be found without the need for
standards and reference materials, nuclear magnetic resonance (NMR) is the method of choice for quantification. It is
possible to use a single standard to determine the absolute
concentrations of the constituent parts in a combination.
However, NMR is a sluggish method that takes several minutes per sample on average. Because MS may combine excellent selectivity (cf. mass-based target confirmation) and fast
sample throughput (in the order of a few samples per second), it has become a popular tool in HTA procedures. The
drawbacks of MS-based methods include their inability to
directly yield precise quantification and their potential for
problems with matrix effects and ion suppression [112].
2.11 Challenges in Classification
The classification of plants may provide significant complexities as a result of several issues. The issues discussed
in this context are a result of the extensive range of plant
species, their capacity to adapt to various conditions, and
the occurrence of hybridization and genetic variety. The
taxonomy of plants presents many significant issues. Plants
have a diverse array of morphological attributes, including
variations in leaf morphology, floral architecture, and
growth patterns. The presence of such variety poses challenges in categorizing plants purely on the basis of their
physical characteristics. Convergent evolution refers to the
phenomenon whereby some plants independently develop
identical features in response to comparable environmental stresses. The potential consequence of this phenomenon is the misclassification of species that are genetically
distant from one another.
2.11.1 Overlapping Chemical Constituents in Different Classes
2.11.1.1 Polyploidy and Hybridization
Plants possess the ability to exhibit several sets of chromosomes (polyploidy) and engage in hybridization, resulting in
intricate genetic associations that prove challenging to effectively include using conventional categorization methodologies. Cryptic species refer to a group of plant species that
exhibit physical similarities but possess significant genetic
differences. This poses a difficulty in differentiating them
just based on conventional physical characteristics.
Intraspecific variation refers to the existence of significant
genetic and phenotypic diversity within a given species. This
diversity may arise from several sources, such as geographic
isolation, environmental disparities, and genetic mutations.
The conventional Linnaean classification method relies on
physical traits for categorization. However, recent advancements in molecular biology have shown that genetic information provides a more comprehensive understanding of
evolutionary connections. The aforementioned phenomenon has resulted in the emergence and advancement of phylogenetic categorization methodologies [113, 114].
2.11.1.2 Rapid Evolution and Speciation
Certain plant taxa can undergo accelerated evolutionary
processes and speciation events, resulting in the emergence of a multitude of closely related species that pose difficulties in their differentiation. The fossil record pertaining
to plants often exhibits gaps, making the task of tracing the
evolutionary lineage of several plant groupings challenging. The presence of non-native and invasive plant species
has the potential to cause disturbances within local ecosystems and provide challenges for taxonomic categorization
due to their inability to be easily categorized within current
taxonomic frameworks.
2.11.1.3 Taxonomic Bias and Expertise
It is possible that some plant groupings may be subject to
varying degrees of taxonomic scrutiny, resulting in disparities in the amount of detailed information accessible for
various species. The incorporation of molecular methods,
such as DNA sequencing, has been used in plant categorization as a means to tackle these issues. DNA-based methodologies provide enhanced precision in determining
genetic links and have the potential to address taxonomic
ambiguities more effectively [24, 114].
2.11.2 Ethical Considerations in Classifying Endangered Plant Species
2.11.2.1 Data Accessibility and Accuracy
Obtaining extensive and precise data pertaining to endangered plant species might present difficulties. The assessment of conservation status might be challenging due to
little or obsolete information on population size, distribution, and threats [115].
2.11.2.2 Taxonomic Uncertainties
The precise identification and classification of plant species is a vital aspect of conservation endeavors. Nevertheless,
the presence of taxonomic intricacies, such as cryptic species and the dynamic nature of classification systems,
2.12 Future Perspectives 33
might give rise to ambiguities about the accurate determination of the taxonomic status of a plant species [116].
2.11.2.3 Inadequate Resources for Research
The availability of financial resources and limited financing might pose significant obstacles to doing extensive
research on plant species that are at risk of extinction. This
might potentially lead to deficiencies in our comprehension of their ecological needs, vulnerabilities, and prospective approaches for conservation [117].
2.11.2.4 Conservation Prioritization
The ethical complexities associated with determining the
prioritization of conservation efforts for endangered plant
species may pose significant challenges. Various factors
such as the rarity of species, their ecological significance,
and potential economic worth may all be influential, and
achieving a harmonious equilibrium among these variables may be a multifaceted endeavor [118].
2.11.2.5 Ex Situ Conservation and Access to Genetic Resources
The ethical concerns pertaining to ex-situ conservation,
which refers to the protection of animals outside their
native environment, include inquiries about the ownership
and accessibility of genetic resources. The reconciliation
between the advantages associated with conservation
efforts with the considerations surrounding sovereignty
and equitable access may sometimes give rise to controversial debates [119].
2.11.2.6 Cultural and Traditional Knowledge
Numerous indigenous and local populations retain significant traditional knowledge pertaining to plant species and
their respective use. The ethical significance of respecting
and integrating this knowledge into conservation endeavors cannot be understated; nonetheless, the process of
merging multiple worldviews and practices might present
some problems [120].
2.12 Future Perspectives
2.12.1 Integration of Traditional and Modern Classification Approaches for Crude Drugs
The integration of traditional and modern classification
approaches for crude drugs is a significant step in bridging
the gap between historical knowledge and contemporary
science. This integration combines the wisdom of traditional healing systems with the precision of modern pharmacology, offering a comprehensive understanding of
medicinal substances. In the next section, a discussion
about this integration with sources to back up the idea is
provided.
2.12.1.1 Incorporating Traditional Classification Systems
Traditional systems like Ayurveda and TCM categorize
medicinal substances based on properties such as taste,
energy, and therapeutic effects. In traditional classifications use of traditional terminologies such as “Rasa” (taste)
and “Virya” (potency) from Ayurveda or “qi tonics” from
TCM are used to describe properties of medicinal substances. Along with this, traditional systems emphasize
personalized treatments based on an individual’s constitution and specific health conditions. Integrating this perspective can enhance patient care [121, 122]. The traditional
Ayurvedic classification of “Rasayana” plants, known for
their rejuvenating properties, aligns with modern research
identifying antioxidants and anti-aging compounds in
these plants [123, 124].
2.12.1.2 Analyzing Chemical Composition and Pharmacology
Modern pharmacology focuses on the chemical composition, pharmacokinetics, and pharmacodynamics of medicinal substances. This approach provides a detailed
understanding of drug interactions. To integrate modern
classifications, it is essential to perform chemical profiling
by analyzing the chemical constituents of medicinal plants
and substances, identifying active compounds responsible
for therapeutic effects [125]. Additionally, rigorous pharmacological studies to determine mechanisms of action,
safety profiles, and potential herb–drug interactions to be
performed [126].
2.12.1.3 Bridging the Gap
Bridging the gap between traditional and modern
approaches involves cross-referencing of traditional classifications with modern research findings, for example,
identifying chemical compounds responsible for tastes and
properties described in traditional systems [127]. Promoting
collaborative research between traditional practitioners
and modern researchers can lead to validation of traditional knowledge through scientific methods [125].
2.12.1.4 Safety and Regulation
Integration of these approaches will ensure and prioritize
safety and adhere to regulatory standards by adverse event
monitoring, which establishes mechanisms for monitoring
adverse events and herb–drug interactions, especially
when combining traditional and modern approaches. This
will also give compliance with regulatory guidelines for
34 2 Classification of Crude Drugs of Natural Origin
herbal products and traditional medicines, ensuring rigorous testing and labeling [128].
2.12.1.5 Research and Innovation
Promotion in research and innovation will bridge the gap
between traditional and modern classification systems.
The combined traditional knowledge with bioactivityguided research will help to identify new therapeutic applications or synergistic effects among herbal compounds
[129]. Along with this, phytochemical profiling will help us
to understand how traditional classifications relate to specific compounds and their actions in the body [130].
2.12.1.6 Holistic Patient Care
The ultimate goal is to provide holistic patient care by
developing a patient-centered approach, considering both
traditional and modern assessments of their health and
well-being. Along with this, the development of complementary therapies by proper recognition of traditional and
modern medicine, which can complement each other,
offers a broader range of treatment options [128].
By integrating traditional and modern classification
approaches for crude drugs, healthcare practitioners can
provide more comprehensive and culturally sensitive care
to patients. This holistic approach acknowledges the rich
heritage of traditional medicine, while embracing the
advances of modern science. The integration of traditional
and modern classification approaches provides a synergistic platform for studying crude drugs. By combining the
wisdom of traditional medicine with the precision of modern science, we can unlock the full therapeutic potential of
these natural remedies. The fusion of traditional wisdom
and modern scientific rigor in classifying crude drugs not
only preserves ancient knowledge, but also propels medicinal research into the future.
2.12.2 Role of Artificial Intelligence and Machine Learning
Artificial intelligence (AI) and machine learning (ML) have
played a significant role in crude drug classification. These
technologies might improve drug classification’s precision,
effectiveness, and depth, benefiting both traditional and
modern medicine systems. Some of the areas where the AI
and ML will play a crucial role are discussed here.
2.12.2.1 Data Analysis and Pattern Recognition
AI and ML algorithms can identify relevant features and
patterns within chemical data, molecular structures, and
biological activities of crude drugs. This helps in characterizing and classifying substances effectively [131]. ML algorithms can analyze spectral data (e.g. NMR, MS) to identify
and classify compounds, aiding in the authentication and
quality control of crude drugs [132].
2.12.2.2 Predictive Modeling
ML models can predict the pharmacological properties of
crude drugs, including potential therapeutic effects, side
effects, and interactions [133]. AI can help in predicting
optimal formulations based on traditional medicine knowledge, taking into account the synergistic effects of multiple
herbal components [134].
2.12.2.3 Drug–Drug Interactions and Safety
AI can analyze drug interaction databases to predict potential
interactions between crude drugs and conventional medications, ensuring patient safety [135]. ML models can monitor
and identify adverse events associated with the use of crude
drugs, contributing to pharmacovigilance efforts [136].
2.12.2.4 Quality Control
AI can assist in the authentication of crude drugs by analyzing chemical fingerprints and detecting adulterants or
contaminants [137]. ML models can assess the quality and
purity of herbal products based on various parameters,
ensuring consistency in manufacturing [138].
2.12.2.5 Data Integration and Literature Mining
AI systems can mine vast repositories of traditional knowledge and research literature to identify patterns and relationships between traditional classifications and modern
pharmacology [139]. Integrating multi-omics data with AI
can provide a holistic view of crude drugs, combining
information on chemical composition, gene expression,
and therapeutic effects [140].
In summary, AI and ML have a substantial and growing
role in the classification, assessment, and utilization of
crude drugs. Their ability to analyze complex data, identify
patterns, predict pharmacological properties, and enhance
quality control makes them invaluable tools in both traditional and modern pharmacology.
2.12.3 Emerging Trends and Innovations in the Field
The field of classification of crude drugs is continually
evolving with advancements in technology, research methodologies, and the changing landscape of healthcare. These
emerging trends and innovations are reshaping the field of
crude drug classification, enabling a more comprehensive,
evidence-based, and culturally sensitive approach to herbal
medicine. They hold the potential to enhance the classification accuracy, safety, and efficacy of crude drugs in both
traditional and modern healthcare systems.
2.13 Conclusion 35
Here are some notable emerging trends and innovations
in this field:
1. Advanced Analytical Techniques: The classification
of crude drugs is undergoing a revolution because of
the advent of advanced analytical methods including
MS, NMR, and HPLC. These techniques allow for precise identification and quantification of chemical constituents, enabling a more detailed understanding of
the composition and quality of medicinal substances
[141].
2. Metabolomics and Chemoinformatics: Extensive
study of metabolites in biological systems is known as
metabolomics. It is increasingly applied to the classification of crude drugs. Combined with chemoinformatics, this approach allows for the systematic study
with respect to chemical variation and bioactivity of
natural materials, leading to improved categorization
and quality control [142].
3. AI and ML: AI and ML techniques are used to analyze
vast datasets related to crude drugs. These technologies aid in data mining, pattern recognition, and the
prediction of pharmacological properties. They can
integrate traditional knowledge with modern data,
enhancing the accuracy of classification and formulation optimization [134].
4. Multi-omics integration: This includes genomics,
proteomics, and metabolomics, which offer an exhaustive view of chemical and biological properties of
crude drugs. This holistic approach facilitates more
nuanced classification and a deeper understanding of
therapeutic effects [143].
5. Herbalomics: Herbalomics is an emerging field that
combines metabolomics, genomics, and proteomics to
study the holistic effects of herbal medicines. It provides insights into the synergistic interactions among
multiple compounds within crude drugs, aiding in
their classification and the development of evidencebased formulations [144].
6. Pharmacognomics: Pharmacognomics involves the
study of how genetic variations in individuals influence their response to natural products. This personalized medicine approach tailors the classification and
use of crude drugs to an individual’s genetic makeup,
optimizing treatment outcomes [145].
7. Global collaboration: Collaboration between
researchers, traditional healers, and healthcare practitioners from diverse regions and cultures is fostering a
global understanding of crude drugs. This collaborative research with respect to traditional knowledge systems, ethnobotany, and ethnopharmacology enriches
the classification. This approach integrates indigenous
wisdom with scientific rigor, providing insights into
the classification and therapeutic uses of crude drugs
[146].
2.13 Conclusion
2.13.1 Recapitulation of the Significance of Classification in Understanding Crude drugs
Classification of crude drugs is a fundamental aspect of
pharmacognosy. It is essential to comprehend the great
diversity of natural resources and the potential medical
benefits they hold. The significance of classification in this
context is multifaceted, contributing to the fields of medicine, pharmacology, botany, and conservation. This essay
explores the importance of classifying crude drugs, emphasizing its impact on medicinal research, drug development,
and biodiversity preservation.
Classification of crude drugs is essential for identifying,
organizing, and understanding the immense variety of
plant species used in traditional medicine. By categorizing
these plants based on their morphological, chemical, and
pharmacological characteristics, researchers can establish
a systematic framework for studying their medicinal properties. This organized approach aids in the discovery of
new drugs, as scientists can focus their research on specific
plant families or compounds known for their therapeutic
effects.
Moreover, classification enhances the efficiency of drug
development processes. By studying plants within the
same category, researchers can predict common chemical
constituents and potential pharmacological activities. This
knowledge expedites the screening of natural compounds
for drug development, leading to the synthesis of novel
pharmaceuticals inspired by traditional medicine. For
instance, the discovery of artemisinin from the plant
Artemisia annua for the treatment of malaria underscores
the importance of classifying plants to identify sources of
potent medicinal compounds [55].
Additionally, a systematic classification system aids in
standardization and overall quality control of natural
materials. It ensures that herbal medicines are derived
from authentic sources, reducing the risks associated with
adulteration and misidentification. Proper classification
also facilitates the establishment of pharmacopeial standards, which are found to be crucial for regulating the quality and efficacy of plant materials in the pharmaceutical
industry [147].
From a botanical perspective, classification promotes the
understanding of plant evolution and relationships. By categorizing plants based on their genetic similarities, taxonomists
36 2 Classification of Crude Drugs of Natural Origin
can reconstruct evolutionary histories and study the diversification of plant species over time. This knowledge is crucial for
conservation efforts, enabling scientists to identify endangered
species and prioritize their protection. Preserving biodiversity
is essential not only for ecological balance, but also for ensuring a continuous supply of medicinal plants for future generations [148].
Furthermore, the classification of crude drugs contributes to the preservation of traditional knowledge and cultural heritage. Many indigenous communities rely on
traditional medicinal practices, passing down knowledge
from generation to generation. Proper classification validates and preserves this valuable knowledge, ensuring its
recognition in the global scientific community. It also promotes ethical practices by encouraging collaboration
between traditional healers and scientists, leading to the
sustainable utilization of medicinal plants [149].
In conclusion, the significance of classification in understanding crude drugs cannot be overstated. Its impact on
medicinal research, drug development, biodiversity conservation, quality control, and cultural preservation is
immense. As our understanding of the natural world continues to expand, a systematic classification system remains
essential in harnessing the therapeutic potential of crude
drugs and promoting the sustainable coexistence of
humanity and nature.
2.13.2 Importance of Accurate Classification of Crude Drugs for Safe and Effective Use in Medicine
The accurate classification of crude drugs is of paramount
importance in the field of medicine for assuring safety and
efficacy of herbal treatments. In modern times, the significance of these traditional medicines has not diminished;
instead, there is a widening concern in exploring their
therapeutic prospect. However, the effectiveness and
safety of these remedies are directly contingent on the precise classification and identification of the crude drugs
used.
Accurate classification guarantees the authenticity of
crude drugs. Many medicinal plants have closely related
species that might have different therapeutic properties or,
in some cases, toxic effects. Misidentification or misclassification can lead to the use of wrong plant, causing adverse
reactions or, in extreme cases, fatalities. For instance, the
distinction between Digitalis purpurea (foxglove), a plant
used in the treatment of heart conditions, and its similarlooking but highly toxic counterpart, can be a matter of life
and death. Proper identification protocols, such as DNA
barcoding and microscopic analysis, are essential to prevent such errors [150].
With this, accurate classification is vital for ensuring
consistent potency and efficacy. The medicinal properties
of crude drugs often reside in specific compounds or chemicals unique to a particular species. A minor variation in
these compounds due to misclassification can significantly
alter the drug’s effectiveness. In TCM, for example, different species of Ginseng (Panax ginseng and Panax quinque-
folius) have distinct therapeutic properties. Misidentifying
them can result in the administration of incorrect treatments, compromising patient outcomes [151].
Furthermore, the proper classification of crude drugs is
pivotal for drug standardization and quality control. Herbal
products, widely used in various forms such as teas, capsules, and ointments, are subjected to stringent quality
standards to ensure their safety and efficacy. Standardization
relies on accurate identification and quantification of bioactive compounds within the crude drugs. Variability in
species due to misclassification can lead to inconsistent
product quality, making it difficult to establish standardized formulations. This lack of consistency can hinder the
reproducibility of clinical trials and, in turn, impede the
development of evidence-based herbal medicines [152].
Additionally, accurate classification plays a crucial role
in biodiversity conservation. Over-harvesting of medicinal
plants due to misidentification can threaten certain plant
species’ survival. Proper classification helps in identifying
vulnerable or endangered species, allowing for the implementation of sustainable harvesting practices and conservation efforts. Ethical sourcing of medicinal plants is
essential for preserving biodiversity and ensuring the longterm availability of these valuable resources [153].
The detailed, scientific, and accurate classification of
crude drugs is indispensable for assuring the safety and
efficacy of herbal remedies in various formulations. It prevents the administration of toxic substances, ensures consistent potency and efficacy, facilitates drug standardization,
and supports biodiversity conservation. The integration of
advanced technologies and rigorous identification protocols is essential in upholding the safety and efficacy of the
quality of herbal medicines, fostering the expansion of
evidence-based practices for the improvement of healthcare outcomes in patients.
2.13.3 Call to Further Research and Collaboration in Advancing Crude Drug Classification
In the ever-evolving landscape of pharmaceuticals, the
classification and study of crude drugs hold a pivotal position. Crude drugs, derived from natural sources, have been
the foundation of medicinal practices for centuries, with
their potential far from fully explored. To unlock their full
References
37
therapeutic potential and ensure the safety and efficacy of
traditional medicines, it is a pressing requisite for further
studies and collaboration in advancing crude drug classification. In recent years, innovative techniques such as spectroscopy, chromatography, and genetic analysis have
revolutionized the identification and characterization of
medicinal plants. These advancements enable precise classification based on chemical composition, enhancing our
understanding of the active compounds responsible for
therapeutic effects. Additionally, interdisciplinary collaborations between botanists, pharmacologists, chemists, and
traditional medicine practitioners have proven invaluable
in deciphering the complex nature of crude drugs [154].
Furthermore, the integration of traditional knowledge
with modern scientific methods can provide valuable
insights into indigenous medicinal plants, preserving cultural heritage while advancing pharmaceutical research.
Research in this area not only enriches our understanding
of diverse medicinal traditions, but also fosters the development of new drugs and therapies, addressing global
healthcare challenges [155]. In conclusion, a concerted
effort involving researchers, policymakers, and practitioners is essential to promote further research and collaboration in advancing crude drug classification. By
harnessing the collective expertise and resources, we can
unlock the vast potential of natural remedies, ensuring a
safer, more effective, and culturally sensitive approach to
healthcare.
References
1 Evans, W.C. (2009). Trease and Evans’ Pharmacognosy
Health Sciences: Elsevier.
2 Cepae, B.A. (1999). WHO monographs on selected
medicinal plants. Geneva: World Health Organization.
3 Li, F.S. and Weng J.K. (2017). Demystifying traditional
herbal medicine with modern approach. Nature plants.
3 (8): 1–7.
4 Kinghorn, A.D. (2001). Pharmacognosy in the 21st century.
Journal of Pharmacy and Pharmacology 53 (2): 135–48.
5 World Health Organization (1998). Quality control
methods for Medicinal Plant Materials, 115. Geneva:
World Health Organization.
6 Mukherjee, P.K. (2002). Quality Control of Herbal Drugs:
an Approach to Evaluation of Botanicals: Business
horizons.
7 WHO (2003). The world health report 2003: shaping the
future: World Health Organization.
8 Fabricant, D.S. and Farnsworth, N.R. (2001). The value
of plants used in traditional medicine for drug discovery.
Environmental Health Perspectives 109 (1): 69–75.
9 Bansal, G., Kaur, J., Suthar N. et al. (2018). Stability
testing issues and test parameters for herbal medicinal
products. Methods for stability testing of pharmaceuticals.
44: 307–33.
10 Cunningham, A.B. (2001). Applied ethnobotany: people,
wild plant use and conservation, 300. London: Earthscan.
11 Ghimire, S.K., McKey, D., and Aumeeruddy-Thomas, Y.
(2005). Conservation of Himalayan medicinal plants:
Harvesting patterns and ecology of two threatened
species, Nardostachys grandiflora D.C. and
Neopicrorhiza scrophulariiflora (Pennell) Hong.
Biological Conservation 124 (4): 463–475.
12 Saslis-Lagoudakis, C.H., Savolainen, V., Williamson,
E.M. et al. (2012). Phylogenies reveal predictive power
of traditional medicine in bioprospecting. Proceedings of
the National Academy of Sciences 109 (39): 15835–840.
13 Saslis-Lagoudakis, C.H., Hawkins, J.A., Greenhill, S.J.
et al. (2014). The evolution of traditional knowledge:
environment shapes medicinal plant use in Nepal.
Proceedings of the Royal Society B: Biological Sciences
281 (1780): 20132768.
14 Sigerist, H.E. (1987). A history of medicine: Oxford:
University Press.
15 Sharma, P. (2003). Dravyaguna vijnana (Audbhida
aushada dravya) Vol-2. Chaukhamba Bharati academy
Varanasi: Reprint 791–793.
16 Unschuld, P.U. (2010). Medicine in China: a history of
ideas: University of California Press.
17 Levey, M. (1973). Early Arabic pharmacology: an
Introduction Based on Ancient and Medieval Sources,
187. Leiden: Brill Archive.
18 Anderson, F.J. (1997). An illustrated history of the
herbals: iUniverse.
19 McNeill, J., Barrie, F., Buck, W. et al. (2012).
International Code of Nomenclature for Algae, Fungi and
Plants (Melbourne Code), 240. Königstein: Koeltz
Scientific Books.
20 Raven, P.H., Evert, R.F., and Eichhorn, S.E. (2005).
Section 6. Physiology of seed plants: 29. Plant nutrition
and soils. Biology of Plants 7e New York: WH Freeman
and Company 639: 978–7167.
21 Heywood, V.H., Brummitt, R.K., Culham, A. et al.
(2007). Flowering plant families of the world, 424.
Ontario: Firefly books.
22 Eastlack, S.C., Cornett, E.M., and Kaye, A.D. (2020).
Kratom—pharmacology, clinical implications, and
outlook: a comprehensive review. Pain and Therapy 9:
55–69.
23 Heinrich, K., Graf, J., Chen, J. et al. (eds). (2020). Fool
me Once, shame on You, Fool me Twice, shame on me:
a Taxonomy of Attack and de-Fense Patterns for AI
Security. ECIS.
38 2 Classification of Crude Drugs of Natural Origin
24 Judd, W.S., Campbell, C.S., Kellogg, E.A. et al. (1999).
Plant systematics: a phylogenetic approach. Ecología
Mediterránea 25 (2): 215.
25 Soltis, P. and Doyle, J.J. (2012). Molecular systematics of
plants II: DNA sequencing, 574. Springer Science &
Business Media.
26 Allendorf, F.W., Luikart, G.H., and Aitken, S.N. (2012).
Conservation and the genetics of populations, 620. John
Wiley & Sons.
27 Padial, J.M., Miralles, A, De la Riva, I. et al. (2010). The
integrative future of taxonomy. Frontiers in Zoology 7
(1): 1–14.
28 Duke, J.A., Ayensu, E.S. (1985). Medicinal plants of
China. Reference Publications, Inc.
29 Gruenwald, J., Brendler, T., and Jaenicke C. (2007). PDR
for Herbal Medicines: Thomson: Reuters.
30 Farnsworth, N.R. (ed.) (2007). Ethnopharmacology and
drug development. Ciba Foundation Symposium
185-Ethnobotany and the Search for New Drugs:
Ethnobotany and the Search for New Drugs: Ciba
Foundation Symposium 185: 42–59. Chichester, UK:
Wiley Online Library.
31 Estébanez-Perpiñá, E., Bayés, A., Vendrell, J. et al.
(2001). Crystal structure of a novel mid-gut
procarboxypeptidase from the cotton pest Helicoverpa
armigera. Journal of Molecular Biology 313 (3): 629–38.
32 Harris, J.G. and Harris, M.W. (1994). Plant Identification
Terminology: An Illustrated Glossary. Spring Lake
Publishing Utah.
33 Faisal, S., Badshah, S.L., Kubra B. et al. (2023). Alkaloids
as potential antivirals. A comprehensive review. Natural
Products and Bioprospecting 13 (1): 4.
34 Rice-Evans, C.A., Miller, N.J., and Paganga, G. (1996)
Structure-antioxidant activity relationships of flavonoids
and phenolic acids. Free Radical Biology and Medicine
20 (7): 933–56.
35 Kumar, A., De, T., Mishra, A. et al. (2013). Oleandrin:
a cardiac glycosides with potent cytotoxicity.
Pharmacognosy Reviews 7 (14): 131.
36 Bolarinwa, I.F., Oke, M.O., Olaniyan, S.A. et al. (2016).
A review of cyanogenic glycosides in edible plants.
Toxicology–New Aspects to This Scientific Conundrum.
37 Diaz-Munoz, G., Miranda, I.L., Sartori S.K. et al. (2018).
Anthraquinones: an overview. Studies in Natural
Products Chemistry 58: 313–38.
38 Oakenfull, D. and Sidhu, G. (1990). Could saponins be
a useful treatment for hypercholesterolaemia? European
Journal of Clinical Nutrition 44 (1): 79–88.
39 Liu, J. (2005). Oleanolic acid and ursolic acid: research
perspectives. Journal of Ethnopharmacology 100 (1-2):
92–4.
40 DerMarderosian, A. and Beutler, J.A. (2002). The review
of natural products: The Most Complete Source of
Natural Product Information, 869. Facts and
Comparisons.
41 Csupor-Löffler, B., Hajdú, Z., Zupkó, I. et al. (2009).
Antiproliferative effect of flavonoids and
sesquiterpenoids from Achillea millefolium sl on
cultured human tumour cell lines. Phytotherapy
Research: An International Journal Devoted to
Pharmacological and Toxicological Evaluation of Natural
Product Derivatives 23 (5): 672–6.
42 Angeli, V., Miguel Silva, P., Crispim Massuela, D. et al.
(2020). Quinoa (Chenopodium quinoa Willd): an
overview of the potentials of the “golden grain” and
socio-economic and environmental aspects of its
cultivation and marketization. Foods 9 (2): 216.
43 Higdon, J.V., Delage, B., Williams, D.E. et al. (2007).
Cruciferous vegetables and human cancer risk:
epidemiologic evidence and mechanistic basis.
Pharmacological Research 55 (3): 224–36.
44 Fahey, J.W, Zhang, Y and Talalay, P. (1997). Broccoli
sprouts: an exceptionally rich source of inducers of
enzymes that protect against chemical carcinogens.
Proceedings of the National Academy of Sciences 94 (19):
10367–72.
45 Bakkali, F., Averbeck, S., Averbeck, D. et al. (2008).
Biological effects of essential oils–a review. Food and
Chemical Toxicology 46 (2): 446–75.
46 Abdallah, I.I. and Quax, W.J. A. (2017). Glimpse into the
biosynthesis of terpenoids. KnE Life Sciences: 81–98.
47 Harborne, J.B. and Williams, C.A. (2000). Advances in
flavonoid research since 1992. Phytochemistry 55 (6):
481–504.
48 Nile, S.H. and Park, S.W. (2014). Edible berries:
bioactive components and their effect on human health.
Nutrition 30 (2): 134–44.
49 Pérez-Jiménez, J., Neveu, V., Vos, F. et al. (2010).
Identification of the 100 richest dietary sources of
polyphenols: an application of the Phenol-Explorer
database. European Journal of Clinical Nutrition 64 (3):
S112–S20.
50 Clifford, M.N. (2000). Chlorogenic acids and other
cinnamates–nature, occurrence, dietary burden,
absorption and metabolism. Journal of the Science of
Food and Agriculture 80 (7): 1033–43.
51 Catalgol, B., Batirel, S., Taga, Y. et al. (2012). Resveratrol:
French paradox revisited. Frontiers in Pharmacology 3: 141.
52 Peterson, J., Dwyer, J., Adlercreutz, H. et al. (2010).
Dietary lignans: physiology and potential for
cardiovascular disease risk reduction. Nutrition Reviews
68 (10): 571–603.
References
39
53 Prasad, S. and Aggarwal, B.B. (2011). Turmeric, the
golden spice. Herbal Medicine: Biomolecular and
Clinical Aspects 2nd edition.
54 Haslam, E. (1996). Natural polyphenols (vegetable
tannins) as drugs: possible modes of action. Journal of
Natural Products 59 (2): 205–15.
55 Tu, Y. (2011). The discovery of artemisinin (qinghaosu)
and gifts from Chinese medicine. Nature Medicine 17
(10): 1217–20.
56 Aggarwal, B.B., Sundaram, C., Malani, N. et al. (2007).
Curcumin: the Indian solid gold. The Molecular Targets
and Therapeutic Uses of Curcumin in Health and
Disease.1–75.
57 Whayne, T.F. (2018). Clinical use of digitalis: a state of
the art review. American Journal of Cardiovascular
Drugs 18: 427–40.
58 Soni, M.G., Carabin, I.G., Griffiths, J.C. et al. (2004).
Safety of ephedra: lessons learned. Toxicology letters
150 (1): 97–110.
59 Martino, E., Casamassima, G., Castiglione, S. et al.
(2018). Vinca alkaloids and analogues as anti-cancer
agents: looking back, peering ahead. Bioorganic &
Medicinal Chemistry Letters 28 (17): 2816–26.
60 Manoguerra, A.S. and Krenzelok, E.P. (1978). Rapid
emesis from high-dose ipecac syrup in adults and
children intoxicated with antiemetics or other drugs.
American Journal of Health-System Pharmacy 35 (11):
1360–62.
61 Jalwal, P. and Middha, A. (2017). Recent advances on
senna as a laxative: a comprehensive review. Journal of
Pharmacognosy and Phytochemistry 6 (2): 349–53.
62 Kokate, C., Purohit, A., and Gokhale, D.S. (2008).
Pharmacognosy. Nirali prakashan;.
63 Tyler, V., Brady, L., and Robbers, J. (1988).
Pharmacognosy. 9th edit. Lea and Fabiger, Philadelphia.
64 Aniszewski, T. (2015). Alkaloids: Chemistry, Biology,
Ecology, and Applications: Elsevier.
65 Harborne, J.B. (2013). The Flavonoids: Advances in
Research Since 1980. Springer.
66 Baser, K.H.C, Buchbauer, G. (2009). Handbook of
Essential Oils: Science, Technology, and Applications:
Florida: C.R.C Press.
67 Scalbert, A. (1991). Antimicrobial properties of tannins.
Phytochemistry 30 (12): 3875–3883.
68 Lomolino, M.V., Riddle, B.R., and Brown, J.H. (2006).
Biogeography 3e. Sunderland: Massachusetts: Sinauer
Associates Inc.
69 Cain, S.A. and Castro, G.D.O. (1960). Manual of
Vegetation Analysis. L.W.W.
70 Tyler, V., Brady, L., and Riobbers, J., (1988).
Pharmacognosy. 9th edn. Lea and Febiger, Philadelphia.
Wood, A.S., Reinhart, B.S. Rajaratham G., and Summers,
J.D. 1971. A Comparison of Blood constituents of Dwarf
Versus Non dwarf Birds. Poultry Science 50 (6): 804.
71 Leung, A.Y. (1980). Encyclopedia of Common Natural
Ingredients Used in Food, Drugs, and Cosmetics. Wiley.
72 Watt, J.M. and Breyer-Brandwijk, M.G. (1962). The
Medicinal and Poisonous Plants of Southern and Eastern
Africa being an Account of their Medicinal and other
Uses, Chemical Composition, Pharmacological Effects
and Toxicology in Man and Animal. Edinburgh:
E. & S. Livingstone.
73 Yaniv, Z., and Dudai, N. (2014). Medicinal and Aromatic
Plants of the Middle-east. London: Springer.
74 Wang, X., Guo, R., Tu, M. et al. (2017). Ectopic
expression of the wild grape W.R.KY transcription factor
VqWRKY52 in Arabidopsis thaliana enhances resistance
to the biotrophic pathogen powdery mildew but not to
the necrotrophic pathogen Botrytis cinerea. Frontiers in
Plant Science.8: 97.
75 Vuksan, V., and Sievenpiper, J.L. (2005). Herbal
remedies in the management of diabetes: lessons
learned from the study of ginseng. Nutrition, Metabolism
and Cardiovascular Diseases 15 (3): 149–60.
76 McKenna, D.J., Towers, G.N., and Abbott, F. (1984).
Monoamine oxidase inhibitors in South American
hallucinogenic plants: tryptamine and ß-carboline
constituents of ayahuasca. Journal of
Ethnopharmacology 10 (2): 195–223.
77 Sau, S, Sarkar, S, Mitra, M. et al. (2021). Recent trends in
agro-technology, post-harvest management and
molecular characterisation of pomegranate. The Journal
of Horticultural Science and Biotechnology 96 (4): 409–27.
78 Chopra, A. and Doiphode, V.V. (2002). Ayurvedic
medicine: core concept, therapeutic principles, and
current relevance. Medical Clinics 86 (1): 75–89.
79 Yuan, R. and Lin, Y. (2000). Traditional Chinese medicine:
an approach to scientific proof and clinical validation.
Pharmacology & Therapeutics 86 (2): 191–98.
80 Gilani, A.H., Khan, A.U., Subhan, F. et al. (2005).
Antispasmodic and bronchodilator activities of St John’s
wort are putatively mediated through dual inhibition of
calcium influx and phosphodiesterase. Fundamental &
Clinical Pharmacology 19 (6): 695–705.
81 Joubert, E., Gelderblom, W., Louw, A. et al. (2008).
South African herbal teas: Aspalathus linearis, Cyclopia
spp. and Athrixia phylicoides—a review. Journal of
Ethnopharmacology 119 (3): 376–412.
82 Sunagawa, M., Yamaguchi, K., Tsukada, M. et al. (2018).
Kampo (traditional Japanese herbal) formulae for
treatment of stomatitis and oral mucositis. Medicines
5 (4): 130.
40 2 Classification of Crude Drugs of Natural Origin
83 Alexiades, M.N. (1996). Collecting ethnobotanical data:
an introduction to basic concepts and techniques.
Advances in Economic Botany 10: 53–94.
84 Brosi, B.J., Balick, M.J., Wolkow, R et al. (2007).
Cultural erosion and biodiversity: Canoe-making
knowledge in Pohnpei, Micronesia. Conservation Biology
21 (3): 875–79.
85 Gessler, M., Msuya, D., Nkunya, M.H. et al. (1995).
Traditional healers in Tanzania: the treatment of
malaria with plant remedies. Journal of
Ethnopharmacology 48 (3): 131–44.
86 Assembly, U.G. (2007). United Nations declaration on
the rights of indigenous peoples. UN. Wash 12: 1–18.
87 Cottier, T. (2005). The agreement on trade-related
aspects of intellectual property rights.In: The World
Trade Organization: Legal, Economic and Political
Analysis, 1041–1120. US: Springer.
88 Choudhary, P., Bala M., and Tushir, S. (2018). Modern
analytical techniques for food analysis. In: Emerging
Post-Harvest Engineering and Technological Interventions
for Enhancing Farmer’s Income, 246–251. ICAR-Central
Institute of Post-Harvest Engineering & Technology.
89 Pratiwi, R., Dipadharma, R.H.F., Prayugo, I.J. et al.
(2021). Recent analytical method for detection of
chemical adulterants in herbal medicine. Molecules
26(21):6006.
90 Xudong, Y., Robert, L., and Zhiqian W. (2011). Analytical
methods for heavy metals in herbal medicines: A review.
Phytochemistry Analysis 22 (3): 189–98.
91 Slavin, W. (1988). Atomic absorption spectrometry. In:
Methods in Enzymology. 158: 117–45. Elsevier.
92 Harnly, J.M., and Garland, D.L. (1988). [13]
Multielement atomic absorption methods of analysis.
In: Methods in Enzymology. 158: 145–56. Elsevier.
93 Lobinski, R., Schaumlöffel, D., Szpunar, J. (2006). Mass
spectrometry in bioinorganic analytical chemistry. Mass
Spectrometry Reviews 25 (2): 255–89.
94 Ammann, A.A. (2007). Inductively coupled plasma
mass spectrometry (ICP MS): a versatile tool. Journal of
Mass Spectrometry 42 (4): 419–27.
95 Austin, C., Hare, D., Rozelle, A.L. et al. (2009). Grimm
R, Doble P. Elemental bio-imaging of calcium
phosphate crystal deposits in knee samples from
arthritic Patients. Metallomics 1 (2): 142–47.
96 Becker, J.S., Zoriy, M, Matusch, A. et al. (2010).
Bioimaging of metals by laser ablation inductively
coupled plasma mass spectrometry (LA-ICP-MS). Mass
Spectrometry Review 29 (1): 156–75.
97 Dorman, F.L., Whiting, J.J., Cochran J.W. et al. (2010).
Gas chromatography. Anal Chemistry 82 (12):
4775–85.
98 McNair, H.M., Miller, J.M., and Snow, N.H. (2019). Basic
gas chromatography: John Wiley & Sons.
99 Cagliero, C., Bicchi, C., Marengo, A. et al. (2022). Gas
chromatography of essential oil: State-of-the-art, recent
advances, and perspectives Journal of Separation Science
45 (1): 94–112.
100 Donato, P., Inferrera, V., Sciarrone, D. et al. (2017).
Supercritical fluid chromatography for lipid analysis in
foodstuffs Journal of Separation Science 40 (1): 361–82.
101 Bernal, J.L., Martín, M.T., and Toribio, L. (2013).
Supercritical fluid chromatography in food analysis
Journal of Chromatography 1313: 24–36.
102 Vogeser, M., and Seger, C. (2008). A decade of
HPLC-MS/MS in the routine clinical laboratory–goals
for further developments. Clinical Biochemistry 41 (9):
649–62.
103 Nestola, M., and Thellmann, A. (2015). Determination
of vitamins D2 and D3 in selected food matrices by
online high-performance liquid chromatography-gas
chromatography-mass spectrometry (HPLC-GC-MS).
Analytical and Bioanalytical Chemistry 407 (1): 297–308.
104 Nirenberg, U. (1994). Reversed-phase HPLC. Analytical
procedure. Methods Molecular Biology 36: 23–35.
105 Yang, F., Ding, F., Chen, H. et al. (2018). DNA Barcoding
for the Identification and Authentication of Animal
Species in Traditional Medicine. Evidence-Based
Complementary and Alternative Medicine 2018 (1):
5160254.
106 Hebert, P.D., Cywinska, A., Ball, S.L. et al. (2003).
Biological identifications through DNA barcodes.
Proceedings of the Royal Society of London Series B:
Biological Sciences 270 (1512): 313–21.
107 Mahima, K., Sunil Kumar, K.N., Rakhesh, K.V. et al.
(2022). Advancements and future prospective of DNA
barcodes in the herbal drug industry. Frontiers in
Pharmacology 13: 947512.
108 Hebert, P.D., Ratnasingham, S., and De Waard, J.R.
(2003). Barcoding animal life: cytochrome c oxidase
subunit 1 divergences among closely related species.
Proceedings of the Royal Society of London Series B:
Biological Sciences 270 (1): S96–S9.
109 Li, M., Cao, H., BUT, P.P.H. et al. (2011). Identification
of herbal medicinal materials using DNA barcodes.
Journal of Systematics and Evolution 49 (3): 271–83.
110 Parveen, A., Parveen, B., Parveen, R. et al. (2015).
Challenges and guidelines for clinical trial of herbal
drugs. Journal of Pharmacy & Bioallied Sciences 7 (4):
329.
111 Fong, H.H. (2002). Integration of herbal medicine into
modern medical practices: issues and prospects.
Integrative Cancer Therapies 1 (3): 287–93.