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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1393636</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2024.1393636</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Medicinal plants used in Gabon for prophylaxis and treatment against COVID-19-related symptoms: an ethnobotanical survey</article-title>
<alt-title alt-title-type="left-running-head">Boukandou Mounanga et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2024.1393636">10.3389/fphar.2024.1393636</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Boukandou Mounanga</surname>
<given-names>Marlaine Michel</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2695287/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mezui</surname>
<given-names>Annais</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mewono</surname>
<given-names>Ludovic</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mogangu&#xe9;</surname>
<given-names>Jean Bertrand</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Aboughe Angone</surname>
<given-names>Sophie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2669128/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institut de Pharmacop&#xe9;e et de M&#xe9;decine Traditionnelle (IPHAMETRA)</institution>, <institution>Centre National de la Recherche Scientifique et Technologique (CENAREST)</institution>, <addr-line>Libreville</addr-line>, <country>Gabon</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Centre Hospitalier Universitaire M&#xe8;re- Enfant</institution>, <institution>Fondation Jeanne EBORI</institution>, <addr-line>Libreville</addr-line>, <country>Gabon</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Groupe de Recherche en Immunologie 2</institution>, <institution>Microbiologie appliqu&#xe9;e</institution>, <institution>Hygi&#xe8;ne et Physiologie</institution>, <institution>D&#xe9;partement des Sciences de la Vie et de la Terre-Ecole Normale Sup&#xe9;rieure</institution>, <addr-line>Libreville</addr-line>, <country>Gabon</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/790347/overview">Rongrui Wei</ext-link>, Jiangxi University of Traditional Chinese Medicine, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1795428/overview">I. Made Dwi Mertha Adnyana</ext-link>, Universitas Hindu Indonesia, Indonesia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1146699/overview">Safaet Alam</ext-link>, Bangladesh Council of Scientific and Industrial Research (BCSIR), Bangladesh</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1744367/overview">Titilayo Omolara Johnson</ext-link>, University of Jos, Nigeria</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2728329/overview">Joyce Ogidigo</ext-link>, Columbia University, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Sophie Aboughe Angone, <email>sophie.aboughe@iphametra.org</email>, <email>sophie.aboughe@gmail.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1393636</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Boukandou Mounanga, Mezui, Mewono, Mogangu&#xe9; and Aboughe Angone.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Boukandou Mounanga, Mezui, Mewono, Mogangu&#xe9; and Aboughe Angone</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> Gabon faced COVID-19 with more than 49,000 individuals tested positive and 307 recorded fatalities since the first reported case in 2020. A popular hypothesis is that the low rate of cases and deaths in the country was attributed to the use of medicinal plants in prevention and treatment. This study aimed to document the plants used for remedial and preventive therapies by the Gabonese population during the COVID-19 pandemic and to pinpoint specific potential plant species that merit further investigation.</p>
<p>
<bold>Methods:</bold> An ethnobotanical survey involving 97 participants was conducted in Libreville. Traditional healers and medicinal plant vendors were interviewed orally using a semi-structured questionnaire sheet, while the general population responded to an online questionnaire format. Various quantitative indexes were calculated from the collected data and included the relative frequency of citation (RFC), use value (UV), informant consensus factor (ICF), relative importance (RI), and popular therapeutic use value (POPUT). One-way ANOVA and independent samples <italic>t</italic>-test were used for statistical analyses. <italic>p</italic>-values &#x2264;0.05 were considered significant.</p>
<p>
<bold>Results:</bold> The survey identified 63 plant species belonging to 35 families. Prevalent symptoms treated included fever (18%), cough (16%), fatigue (13%), and cold (12%). The demographic data highlighted that 52.58% of male subjects (<italic>p</italic> &#x3e; 0.94) aged 31&#x2013;44 years were enrolled in the survey, of which 48.45% (<italic>p</italic> &#x3c; 0.0001) and 74.73% (<italic>p</italic> &#x3c; 0.99) of informants had university-level education. In addition, the results indicated that a total of 66% of the informants used medicinal plants for prophylaxis (34%), for both prevention and treatment (26%), exclusively for treatment (3%), and only for prevention (3%) while suffering from COVID-19, against 34% of the participants who did not use plants for prevention or treatment. <italic>Annickia chlorantha, Citrus</italic> sp.<italic>, Alstonia congensis, Zingiber officinale,</italic> and <italic>Carica papaya</italic> emerged as the most commonly cited plants with the highest RFC (0.15&#x2013;0.26), UV (0.47&#x2013;0.75), and RI (35.72&#x2013;45.46) values. Most of these plants were used either individually or in combination with others.</p>
<p>
<bold>Conclusion:</bold> The survey reinforces the use of traditional medicine as a method to alleviate COVID-19 symptoms, thereby advocating for the utilization of medicinal plants in managing coronavirus infections.</p>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>Gabon</kwd>
<kwd>medicinal plants</kwd>
<kwd>prevention</kwd>
<kwd>treatment</kwd>
<kwd>survey</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Ethnopharmacology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>After the World Health Organization lifted the public health emergency of international concern for COVID-19, statistics indicate that approximately 689 million people tested positive for COVID-19, with approximately 7 million fatalities attributed to the disease (<ext-link ext-link-type="uri" xlink:href="https://www.worldometers.info/coronavirus/">https://www.worldometers.info/coronavirus/</ext-link>). Various therapeutic approaches were explored in the management of COVID-19, including antibiotics (azithromycin), antiparasitic agents (hydroxychloroquine), antiviral medications (remdesivir), monoclonal antibodies (casirivimab), steroids (dexamethasone), and immune modulators (tocilizumab), anticoagulants, as well as oxygen therapy and other supportive measures for patients experiencing respiratory distress (<xref ref-type="bibr" rid="B47">Mehraeen et al., 2022</xref>; <xref ref-type="bibr" rid="B51">Murakami et al., 2023</xref>; <xref ref-type="bibr" rid="B61">Panahi et al., 2023</xref>). Other approaches such as the search for new treatments using traditional remedies were also explored, as well as vaccines (<xref ref-type="bibr" rid="B65">Rahman et al., 2022</xref>; <xref ref-type="bibr" rid="B67">Soheili et al., 2023</xref>).</p>
<p>Gabon, with a population of approximately 2.3 million, has grappled with COVID-19, with statistics revealing approximately 49,000 individuals testing positive and resulting in 307 recorded fatalities since the first reported case in 2020 (<ext-link ext-link-type="uri" xlink:href="https://www.worldometers.info/coronavirus/country/gabon/">https://www.worldometers.info/coronavirus/country/gabon/</ext-link>). The diagnostic of the disease was carried out by Laboratoire Professeur Daniel Gahouma. The latter was the specialized state-of-the-art technology specifically established to address the challenges posed by the pandemic. In addition, COVID-19 treatment protocols in Gabon have involved antibiotherapy in combination with vitamins, paracetamol, zinc, and vaccine.</p>
<p>However, despite the availability of medications and vaccines, and due to fears regarding potential adverse effects associated with vaccination, the Gabonese population has turned to medicinal plants for the prophylaxis and treatment of symptoms associated with this viral disease, similar to the populations of several other countries including Algeria, Brazil, Colombia, Cameroon, Morocco, and Peru (<xref ref-type="bibr" rid="B15">Belmouhoub et al., 2021</xref>; <xref ref-type="bibr" rid="B71">Villena-Tejada et al., 2021</xref>; <xref ref-type="bibr" rid="B16">Chebaibi et al., 2022</xref>; <xref ref-type="bibr" rid="B19">Cordoba-Tovar et al., 2022</xref>; <xref ref-type="bibr" rid="B52">Mvogo Ottou et al., 2022</xref>; <xref ref-type="bibr" rid="B20">da Silva et al., 2023</xref>). Most Gabonese people often rely on medicinal plants due to their long tradition of plant-based medicine. The Gabonese population strongly believes in the efficacy of medicinal plants, considering them crucial in managing COVID-19, particularly due to symptoms resembling those of malaria and flu. Indeed, several symptoms such as respiratory disorders, colds, coughs, fever, and joint pain commonly associated with flu and malaria are typically treated using plant-based remedies by the population. Ancestral knowledge passed down from generation to generation may contain treasures of effective natural remedies against this virus. Therefore, the present study aimed to document and valorize plants used by the Gabonese population to prevent or cure COVID-19 and to identify specific plant species deserving further investigation as potential treatments against coronavirus infections.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Data collection</title>
<p>The survey was conducted in Libreville (<xref ref-type="fig" rid="F1">Figure 1</xref>) between February and June 2022 involving participants from the general population, traditional healers, and medicinal plant vendors. A semi-structured questionnaire was developed for conducting direct interviews with randomly selected traditional healers and medicinal plant vendors. Meanwhile, an online questionnaire format was employed to engage the general population. This approach aimed to collect a comprehensive range of information within the population. The questionnaire was converted into a Google Docs form using Google services and was disseminated through various online-based social media platforms such as Facebook, Instagram, Messenger, and WhatsApp. These platforms were chosen as they were perceived to be the most accessible means of reaching the maximum population regarding the governmental measures of partial lockdown and restrictions on movement. A total of 97 participants responded to the survey, comprising both online respondents and those who participated in oral interviews. The questionnaire was designed with two main sections: the first focused on gathering information about the informants (including age, sex, level of education, and ethnic group affiliation), while the second aimed to obtain details regarding medicinal plants, their forms, prescriptions, COVID status, and methods of preparation.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Map of Gabon (source: ANPN, s.d.).</p>
</caption>
<graphic xlink:href="fphar-15-1393636-g001.tif"/>
</fig>
</sec>
<sec id="s2-2">
<title>2.2 Data analysis</title>
<sec id="s2-2-1">
<title>2.2.1 Quantitative analyses of the ethnobotanical data</title>
<p>Various quantitative indexes were calculated from the collected data and included the relative frequency of citation (RFC), Use Value (UV), Informant Consensus Factor (ICF), Relative Importance (RI) and Popular Therapeutic Use Value (POPUT) (<xref ref-type="bibr" rid="B9">Anwar et al., 2023</xref>; <xref ref-type="bibr" rid="B53">Naceiri et al., 2021</xref>; <xref ref-type="bibr" rid="B55">Ndhlovu et al., 2023</xref>).</p>
<sec id="s2-2-1-1">
<title>2.2.1.1 Relative Frequency of Citation (RFC)</title>
<p>The Relative Frequency of Citation (RFC) demonstrates the local importance of each plant species. The RFC value ranges from 0 (none of the informants indicate a plant species as useful), to 1 (all informants indicate it as useful). RFC has been calculated as follows:<disp-formula id="equ1">
<mml:math id="m5">
<mml:mrow>
<mml:mtext mathvariant="bold">RFC</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:mtext mathvariant="bold">FC</mml:mtext>
<mml:mo>/</mml:mo>
<mml:mtext mathvariant="bold">N</mml:mtext>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
<p>Where FC denotes the number of informants mentioning the use of the species in any symptoms and N is the total number of informants participating in the survey.</p>
</sec>
<sec id="s2-2-1-2">
<title>2.2.1.2 The use value (UV)</title>
<p>The UV is an index highlighting the relative importance of plants known locally in traditional medicine. The use value of a plant species varies according to its cultural, geographical, and biological context. The UV determines the most frequently indicated plants in the treatment of an ailment. Use value was calculated using the following formula: <disp-formula id="equ2">
<mml:math id="m1">
<mml:mrow>
<mml:mtext mathvariant="bold">UV</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo>&#x2211;</mml:mo>
<mml:mi mathvariant="bold-italic">U</mml:mi>
<mml:mi mathvariant="bold-italic">I</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
</mml:mrow>
<mml:mi mathvariant="bold-italic">N</mml:mi>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
<p>Where <italic>UI</italic> is number of uses recorded for a given species by each informant, and <italic>N</italic> is the total number of informants participating in the survey.</p>
</sec>
<sec id="s2-2-1-3">
<title>2.2.1.3 Relative Importance (RI)</title>
<p>RI helps in the prioritization of plants based on their importance and prevalence in local knowledge systems. It is a useful tool for identifying significant plants with cultural, medical, or ritual significance to a society. It was determined as:<disp-formula id="equ3">
<mml:math id="m2">
<mml:mrow>
<mml:mtext mathvariant="bold">RI</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="bold-italic">R</mml:mi>
<mml:mo>&#xb7;</mml:mo>
<mml:mi mathvariant="bold-italic">P</mml:mi>
<mml:mi mathvariant="bold-italic">h</mml:mi>
<mml:mo>&#x2b;</mml:mo>
<mml:mi mathvariant="bold-italic">R</mml:mi>
<mml:mo>&#xb7;</mml:mo>
<mml:mi mathvariant="bold-italic">B</mml:mi>
<mml:mi mathvariant="bold-italic">S</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
</mml:mrow>
<mml:mn mathvariant="bold">2</mml:mn>
</mml:mfrac>
<mml:mo>&#xd7;</mml:mo>
<mml:mn mathvariant="bold">100</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
</p>
<p>Where &#x2018;<italic>R&#xb7;Ph</italic>&#x2019; stands for relative pharmacological properties. &#x2018;<italic>R&#xb7;Ph</italic>&#x2019; is calculated by dividing number of uses (U) by total number of use reports. &#x2018;<italic>R&#xb7;BS</italic>&#x2019; is calculated by dividing number of diseases treated by a plant species by total number of diseases.</p>
</sec>
<sec id="s2-2-1-4">
<title>2.2.1.4 Informant Consensus Factor (ICF)</title>
<p>This index was calculated for informants&#x2019; agreement on the reported treatment based on each category of disease. The following formula was used to calculate the informant consensus factor (ICF):<disp-formula id="equ4">
<mml:math id="m3">
<mml:mrow>
<mml:mtext mathvariant="bold">ICF</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="bold-italic">N</mml:mi>
<mml:mi mathvariant="bold-italic">u</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>&#x2013;</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi mathvariant="bold-italic">N</mml:mi>
<mml:mi mathvariant="bold-italic">t</mml:mi>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
</mml:mrow>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mi mathvariant="bold-italic">N</mml:mi>
<mml:mi mathvariant="bold-italic">u</mml:mi>
<mml:mi mathvariant="bold-italic">r</mml:mi>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>&#x2013;</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mn mathvariant="bold">1</mml:mn>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mfrac>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>where &#x201c;Nur&#x201d; is the total use reports for each category and &#x201c;Nt&#x201d; is the total number of species used for that category. The ICF scale is 0&#x2013;1. A number close to 1 implies a high level of agreement or consensus among informants regarding the relevance of a given use category and the plants associated with it. A score closer to 0 shows a lack of consensus, implying that informants may have various or varying ideas regarding the relevance of a certain use category or the plants used for that purpose.</p>
</sec>
<sec id="s2-2-1-5">
<title>2.1.1.5 Popular therapeutic use value</title>
<p>The popular therapeutic use value (POPUT) shows the significance of a plant species for medicinal and therapeutic uses. The following formula was used to calculate the popular therapeutic use value:<disp-formula id="equ5">
<mml:math id="m4">
<mml:mrow>
<mml:mtext mathvariant="bold">POPUT</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mi mathvariant="bold-italic">N</mml:mi>
<mml:mi mathvariant="bold-italic">U</mml:mi>
<mml:mi mathvariant="bold-italic">R</mml:mi>
<mml:mi mathvariant="bold-italic">I</mml:mi>
<mml:mi mathvariant="bold-italic">T</mml:mi>
</mml:mrow>
<mml:mrow>
<mml:mi mathvariant="bold-italic">T</mml:mi>
<mml:mi mathvariant="bold-italic">U</mml:mi>
<mml:mi mathvariant="bold-italic">R</mml:mi>
</mml:mrow>
</mml:mfrac>
<mml:mo>,</mml:mo>
</mml:mrow>
</mml:math>
</disp-formula>where &#x201c;NURIT&#x201d; is the number of use reports for each illness or therapeutic effect and &#x201c;TUR&#x201d; is the total number of use reports.</p>
</sec>
</sec>
<sec id="s2-2-2">
<title>2.2.2 Statistical analysis</title>
<p>The recorded data were tabulated on Microsoft Excel spreadsheets. A descriptive and quantitative statistical method was applied (one-way ANOVA and independent samples <italic>t</italic>-test; <italic>p</italic>-values &#x2264;0.05 were considered significant) to analyze and summarize the data.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Sociodemographic features of informants</title>
<p>The social&#x2013;demographic features of informants are presented in <xref ref-type="table" rid="T1">Table 1</xref>. The gender distribution revealed that women constituted 47.42% of the respondents, while men were more predominant at 52.58%. The average age of participants was 39.41 years, ranging from 18 to 66 years, with the age group of 31&#x2013;44 years being the most represented at 48.45% (<italic>p</italic> &#x3c; 0.0001). A significant majority of informants (74.73%) had attended university, while only 3.3% had completed primary school. The most represented ethnic affiliation was the Fang (30.77%), followed by the Punu (19.78%) and the Nzebi (13.19%). Ethnic groups such as the Awandji, Benga, and Haussa were among the least represented.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Sociodemographic data about the participants of the study.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Demographic category</th>
<th align="center">Number of informants (n &#x3d; 97)</th>
<th align="center">Frequency (%)</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Female</td>
<td align="left"/>
<td align="center">46</td>
<td align="center">47.42</td>
<td align="center">&#x3e;0.94</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="left"/>
<td align="center">51</td>
<td align="center">52.58</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Age</td>
<td align="center">18&#x2013;30</td>
<td align="center">20</td>
<td align="center">20.62</td>
<td align="center">&#x3c;0.0001</td>
</tr>
<tr>
<td align="center">31&#x2013;44</td>
<td align="center">47</td>
<td align="center">48.45</td>
<td align="left"/>
</tr>
<tr>
<td align="center">45&#x2013;66</td>
<td align="center">30</td>
<td align="center">30.93</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="3" align="left">Education</td>
<td align="center">Primary school</td>
<td align="center">3</td>
<td align="center">3.09</td>
<td align="center">&#x3e;0.9999</td>
</tr>
<tr>
<td align="center">Secondary</td>
<td align="center">21</td>
<td align="center">21.65</td>
<td align="left"/>
</tr>
<tr>
<td align="center">University</td>
<td align="center">73</td>
<td align="center">75.26</td>
<td align="left"/>
</tr>
<tr>
<td rowspan="15" align="left">Ethnic group</td>
<td align="center">Awandji</td>
<td align="center">1</td>
<td align="center">1.03</td>
<td align="center">&#x3e;0.9999</td>
</tr>
<tr>
<td align="center">Benga</td>
<td align="center">1</td>
<td align="center">1.03</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Haussa</td>
<td align="center">1</td>
<td align="center">1.03</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Kota</td>
<td align="center">1</td>
<td align="center">1.03</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Kw&#xe9;l&#xe9;</td>
<td align="center">1</td>
<td align="center">1.03</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Vili</td>
<td align="center">1</td>
<td align="center">1.03</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Vungu</td>
<td align="center">1</td>
<td align="center">1.03</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Adouma</td>
<td align="center">3</td>
<td align="center">3.09</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Massango</td>
<td align="center">3</td>
<td align="center">3.09</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Myene</td>
<td align="center">3</td>
<td align="center">3.09</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Mitsogo</td>
<td align="center">8</td>
<td align="center">8.25</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Ghisir</td>
<td align="center">11</td>
<td align="center">11.34</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Ndzebi</td>
<td align="center">12</td>
<td align="center">12.37</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Punu</td>
<td align="center">18</td>
<td align="center">18.56</td>
<td align="left"/>
</tr>
<tr>
<td align="center">Fang</td>
<td align="center">32</td>
<td align="center">32.99</td>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-2">
<title>3.2 Frequency of COVID-19-related symptoms treated</title>
<p>COVID-19 symptoms are various. In this survey, prevalent symptoms included fever (18%), cough (16%), fatigue (13%), and cold (12%), as shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. Additionally, respiratory conditions (10%), general pain (8%), and breathlessness (7%) were managed by informants to a lesser extent. Sneeze, sore throat, and colic associated with COVID-19 were cited at 2% and 1%.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Treated symptoms.</p>
</caption>
<graphic xlink:href="fphar-15-1393636-g002.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>3.3 Frequency of plant parts used</title>
<p>The survey unveiled that nearly all plant parts were used in the treatment of COVID-19. Informants mostly used bark (42%) and leaves (38%) for their remedies, while roots, bulbs, and fruits were used to a lesser extent, accounting for 7%, 6%, and 3%, respectively. Less commonly utilized were parts such as seeds, flowers, rhizomes, and nuts, each representing 1% (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Plant parts used.</p>
</caption>
<graphic xlink:href="fphar-15-1393636-g003.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>3.4 Frequency of the methods of preparation and administration of ethnomedicinal remedies</title>
<p>In the formulation of plant-based remedies for the prevention and treatment of COVID-19, methods such as infusion, decoction, and maceration were predominantly utilized, comprising 49%, 34%, and 15%, respectively (<xref ref-type="fig" rid="F4">Figure 4</xref>). The administration of these remedies was primarily oral (78%), while 19% were applied through steam baths. Enema and nasal administration accounted for 2% and 1%, respectively (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Mode of preparation.</p>
</caption>
<graphic xlink:href="fphar-15-1393636-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Mode of administration.</p>
</caption>
<graphic xlink:href="fphar-15-1393636-g005.tif"/>
</fig>
</sec>
<sec id="s3-5">
<title>3.5 Frequency of the disease amongst the informants and use of plants in prevention or treatment</title>
<p>Among the participants, 51% tested positive for COVID-19, as confirmed by PCR analysis, while 49% either did not exhibit any symptoms or did not contract the disease (<xref ref-type="fig" rid="F6">Figure 6</xref>). The survey also uncovered that 34% of the informants did not use plants for either prevention or treatment. Among the remaining participants, 34% utilized plants for prophylaxis, 26% for both prevention and treatment, 3% exclusively for treatment, and 3% used medicinal plants solely for prevention in conjunction with standard drugs while they were sick with COVID-19 (<xref ref-type="fig" rid="F7">Figure 7</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Proportion of people who have contracted COVID-19.</p>
</caption>
<graphic xlink:href="fphar-15-1393636-g006.tif"/>
</fig>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Use of medicinal plants in the treatment and/or prevention of COVID-19.</p>
</caption>
<graphic xlink:href="fphar-15-1393636-g007.tif"/>
</fig>
</sec>
<sec id="s3-6">
<title>3.6 Ethnomedicinal plants used</title>
<p>The survey on medicinal plants used for the prevention and treatment of COVID-19 within the general population, traditional healers, and medicinal plant vendors identified 63 plant species belonging to 35 families (<xref ref-type="table" rid="T2">Table 2</xref>). These plants were utilized either individually or in combination with other species to formulate remedies. The listed species are presented in alphabetical order by family. For each plant, we provide information on the family, scientific name, vernacular name, part used, and growth form.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Ethnobotanical data on plants used to treat and prevent COVID-19.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">N&#x00B0;</th>
<th align="center">Family</th>
<th align="center">Scientific name</th>
<th align="center">Vernacular name</th>
<th align="center">Plant parts</th>
<th align="center">Growth form</th>
<th align="center">RFC</th>
<th align="center">UV</th>
<th align="center">RI (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">Acanthaceae</td>
<td align="center">
<italic>Acanthus montanus</italic> (Nees) T.Anderson</td>
<td align="center">Mabangue pele</td>
<td align="center">Roots</td>
<td align="center">Perennial</td>
<td align="center">0.02</td>
<td align="center">0.03</td>
<td align="center">12.66</td>
</tr>
<tr>
<td align="center">2</td>
<td rowspan="2" align="center">Anacardiaceae</td>
<td align="center">
<italic>Mangifera indica</italic> L.</td>
<td align="center">Mwiba</td>
<td align="center">Leaves and barks</td>
<td align="center">Tree</td>
<td align="center">0.11</td>
<td align="center">0.32</td>
<td align="center">34.94</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">
<italic>Pseudospondias longifolia</italic> Engl.</td>
<td align="center">Musungubali</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.04</td>
<td align="center">16.88</td>
</tr>
<tr>
<td align="center">4</td>
<td rowspan="5" align="center">Annonaceae</td>
<td align="center">
<italic>Annona muricata</italic> Lin.</td>
<td align="center">Corossol</td>
<td align="center">Leaves</td>
<td align="center">Tree</td>
<td align="center">0.02</td>
<td align="center">0.05</td>
<td align="center">21.09</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">
<italic>Annickia chlorantha</italic> (Oliv.) Setten and Maas</td>
<td align="center">Nfo&#x2019;o</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.26</td>
<td align="center">0.75</td>
<td align="center">45.46</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">
<italic>Xylopia aethiopica</italic> (Dunal) A. Rich</td>
<td align="center">Mugana</td>
<td align="center">Leaves</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.02</td>
<td align="center">8.44</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">
<italic>Greenwayodendron suaveolens</italic> Engl. and Diels</td>
<td align="center">Muamba noir</td>
<td align="center">Leaves and barks</td>
<td align="center">Tree</td>
<td align="center">0.12</td>
<td align="center">0.3</td>
<td align="center">18.17</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">
<italic>Cleistopholis staudtii</italic> Engl. and Diels</td>
<td align="center">Ovoc</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.04</td>
<td align="center">16.88</td>
</tr>
<tr>
<td align="center">9</td>
<td rowspan="3" align="center">Apocynaceae</td>
<td align="center">
<italic>Alstonia congensis</italic> Engl.</td>
<td align="center">Ekouk</td>
<td align="center">Leaves and barks</td>
<td align="center">Tree</td>
<td align="center">0.22</td>
<td align="center">0.71</td>
<td align="center">45.25</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">
<italic>Tabernanthe iboga</italic> Baill.</td>
<td align="center">Dibuga</td>
<td align="center">Root barks</td>
<td align="center">Shrub</td>
<td align="center">0.02</td>
<td align="center">0.02</td>
<td align="center">8.44</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">
<italic>Picralima nitida</italic> T. Durand and H. Durand</td>
<td align="center">Dugundu</td>
<td align="center">Barks and fresh leaves</td>
<td align="center">Tree</td>
<td align="center">0.06</td>
<td align="center">0.13</td>
<td align="center">21.5</td>
</tr>
<tr>
<td align="center">12</td>
<td rowspan="3" align="center">Asteraceae</td>
<td align="center">
<italic>Ageratum conyzoides</italic> L.</td>
<td align="center">Burongu</td>
<td align="center">Barks</td>
<td align="center">Weed</td>
<td align="center">0.01</td>
<td align="center">0.04</td>
<td align="center">16.88</td>
</tr>
<tr>
<td align="center">13</td>
<td align="center">
<italic>Artemisia annua</italic> L.</td>
<td align="left"/>
<td align="center">Leaves</td>
<td align="center">Shrub</td>
<td align="center">0.1</td>
<td align="center">0.25</td>
<td align="center">34.58</td>
</tr>
<tr>
<td align="center">14</td>
<td align="center">
<italic>Gymnanthemum amygdalinum&#xa0;</italic>(Delile) Sch.Bip. syn <italic>Vernonia amygdalina</italic>
</td>
<td align="center">Ndole</td>
<td align="center">Leaves</td>
<td align="center">Shrub</td>
<td align="center">0.06</td>
<td align="center">0.23</td>
<td align="center">38.64</td>
</tr>
<tr>
<td align="center">15</td>
<td align="center">Bignoniaceae</td>
<td align="center">
<italic>Newbouldia laevis</italic> (P.Beauv.) Seem. ex Bureau</td>
<td align="center">Isope</td>
<td align="center">Leaves and barks</td>
<td align="center">Tree</td>
<td align="center">0.08</td>
<td align="center">0.24</td>
<td align="center">34.53</td>
</tr>
<tr>
<td align="center">16</td>
<td align="center">Bombacaceae</td>
<td align="center">
<italic>Ceiba pentandra</italic> (L.) Gaertn.</td>
<td align="center">Dum</td>
<td align="center">Leaves</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.04</td>
<td align="center">16.88</td>
</tr>
<tr>
<td align="center">17</td>
<td rowspan="3" align="center">Burseraceae</td>
<td align="center">
<italic>Aucoumea klaineana</italic> Pierre</td>
<td align="center">Okume</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.08</td>
<td align="center">0.3</td>
<td align="center">18.17</td>
</tr>
<tr>
<td align="center">18</td>
<td align="center">
<italic>Canarium schweinfurthii</italic> Engl.</td>
<td align="center">Aiele</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.02</td>
<td align="center">8.44</td>
</tr>
<tr>
<td align="center">19</td>
<td align="center">
<italic>Dacryodes edulis</italic> (G.Don.) H. J. Lam.</td>
<td align="center">Safu</td>
<td align="center">Barks and leaves</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.05</td>
<td align="center">16.93</td>
</tr>
<tr>
<td align="center">20</td>
<td align="center">Caricaceae</td>
<td align="center">
<italic>Carica papaya</italic> L.</td>
<td align="center">Mulolu</td>
<td align="center">Leaves</td>
<td align="center">Tree</td>
<td align="center">0.15</td>
<td align="center">0.62</td>
<td align="center">44.78</td>
</tr>
<tr>
<td align="center">21</td>
<td align="center">Combretaceae</td>
<td align="center">
<italic>Combretum micranthum</italic> G.Don</td>
<td align="center">Kinkeliba</td>
<td align="center">Roots</td>
<td align="center">Shrub</td>
<td align="center">0.08</td>
<td align="center">0.35</td>
<td align="center">35.1</td>
</tr>
<tr>
<td align="center">22</td>
<td align="center">Costaceae</td>
<td align="center">
<italic>Costus lucanusianus</italic> JA.Braun. and K.Schum.</td>
<td align="center">Mikwissa</td>
<td align="center">Leaves</td>
<td align="center">Perennial herb</td>
<td align="center">0.05</td>
<td align="center">0.21</td>
<td align="center">34.37</td>
</tr>
<tr>
<td align="center">23</td>
<td align="center">Euphorbiaceae.</td>
<td align="center">
<italic>Alchornea cordifolia</italic> (Schumach) M&#xfc;ll. Arg.</td>
<td align="center">Mumbundjeni</td>
<td align="center">Leaves</td>
<td align="center">Shrub or small tree</td>
<td align="center">0.01</td>
<td align="center">0.03</td>
<td align="center">12.66</td>
</tr>
<tr>
<td align="center">24</td>
<td rowspan="9" align="center">Fabaceae</td>
<td align="center">
<italic>Cylicodiscus gabunensis</italic> Harms</td>
<td align="center">Madume</td>
<td align="center">Leaves</td>
<td align="center">Tree</td>
<td align="center">0.02</td>
<td align="center">0.08</td>
<td align="center">17.08</td>
</tr>
<tr>
<td align="center">25</td>
<td align="center">
<italic>Copaifera religiosa</italic> J.L&#xe9;onard</td>
<td align="center">Mutombi</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.01</td>
<td align="center">4.22</td>
</tr>
<tr>
<td align="center">26</td>
<td align="center">
<italic>Distemonanthus benthamianus</italic> Baill.</td>
<td align="center">Muvengui</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.02</td>
<td align="center">0.05</td>
<td align="center">12.76</td>
</tr>
<tr>
<td align="center">27</td>
<td align="center">
<italic>Osodendron altissimum</italic> (Hook.f.) E.J.M.Koenen</td>
<td align="center">Difyoru balossi</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.01</td>
<td align="center">4.22</td>
</tr>
<tr>
<td align="center">28</td>
<td align="center">
<italic>Pterocarpus soyauxii</italic> Taub.</td>
<td align="center">Padouk</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.03</td>
<td align="center">0.1</td>
<td align="center">17.19</td>
</tr>
<tr>
<td align="center">29</td>
<td align="center">
<italic>Pentaclethra macrophylla</italic> Benth.</td>
<td align="center">Muvandji</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.02</td>
<td align="center">0.04</td>
<td align="center">16.88</td>
</tr>
<tr>
<td align="center">30</td>
<td align="center">
<italic>Senna occidentalis</italic> (L.) Link</td>
<td align="center">Muwiwisi</td>
<td align="center">Leaves</td>
<td align="center">Shrub</td>
<td align="center">0.02</td>
<td align="center">0.04</td>
<td align="center">16.87</td>
</tr>
<tr>
<td align="center">31</td>
<td align="center">
<italic>Tetrapleura tetraptera</italic> (Schum. and Thonn.) Taub.</td>
<td align="center">Gyaga</td>
<td align="center">Fruit</td>
<td align="center">Tree</td>
<td align="center">0.03</td>
<td align="center">0.06</td>
<td align="center">25.31</td>
</tr>
<tr>
<td align="center">32</td>
<td align="center">
<italic>Guibourtia tessmannii</italic> (Harms) J.L&#xe9;onard.</td>
<td align="center">Kevazingo</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.03</td>
<td align="center">0.1</td>
<td align="center">17.19</td>
</tr>
<tr>
<td align="center">33</td>
<td align="center">Hypericaceae</td>
<td align="center">
<italic>Harungana madagascariensis</italic> Lam. ex Poiret</td>
<td align="center">Musasa</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.02</td>
<td align="center">8.44</td>
</tr>
<tr>
<td align="center">34</td>
<td align="center">Irvingiaceae</td>
<td align="center">
<italic>Irvingia gabonensis</italic> (Aubry-Lecomte ex O&#x2019;Rorke) Baill.</td>
<td align="center">Mundjuka</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.04</td>
<td align="center">16.88</td>
</tr>
<tr>
<td align="center">35</td>
<td rowspan="2" align="center">Lamiaceae</td>
<td align="center">
<italic>Mentha suaveolens</italic> Ehrh.</td>
<td align="left"/>
<td align="center">Leaves</td>
<td align="center">Perennial herb</td>
<td align="center">0.03</td>
<td align="center">0.07</td>
<td align="center">17.03</td>
</tr>
<tr>
<td align="center">36</td>
<td align="center">
<italic>Ocimum gratissimum</italic> L.</td>
<td align="center">Messep</td>
<td align="center">Leaves</td>
<td align="center">Perennial herb</td>
<td align="center">0.07</td>
<td align="center">0.2</td>
<td align="center">42.65</td>
</tr>
<tr>
<td align="center">37</td>
<td align="center">Lauraceae</td>
<td align="center">
<italic>Persea americana</italic> Mill.</td>
<td align="center">Muvoka</td>
<td align="center">Leaves</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.02</td>
<td align="center">8.44</td>
</tr>
<tr>
<td align="center">38</td>
<td align="center">Lecythidaceae</td>
<td align="center">
<italic>Petersianthus macrocarpus</italic> (P.Beauv.) Liben</td>
<td align="center">Mbindju</td>
<td align="center">Ecorces</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.01</td>
<td align="center">4.22</td>
</tr>
<tr>
<td align="center">39</td>
<td rowspan="3" align="center">Liliaceae</td>
<td align="center">
<italic>Allium cepa</italic> L.</td>
<td align="center">Oignon</td>
<td align="center">Bulbs</td>
<td align="center">Perennial herb</td>
<td align="center">0.02</td>
<td align="center">0.03</td>
<td align="center">12.66</td>
</tr>
<tr>
<td align="center">40</td>
<td align="center">
<italic>Allium sativum</italic> L.</td>
<td align="center">Ail</td>
<td align="center">Bulbs</td>
<td align="center">Perennial herb</td>
<td align="center">0.04</td>
<td align="center">0.1</td>
<td align="center">25.52</td>
</tr>
<tr>
<td align="center">41</td>
<td align="center">
<italic>Aloe vera</italic> (L.) Burm.f.</td>
<td align="center">Aloe</td>
<td align="center">Leaves</td>
<td align="center">Perennial herb</td>
<td align="center">0.01</td>
<td align="center">0.07</td>
<td align="center">29.53</td>
</tr>
<tr>
<td align="center">42</td>
<td align="center">Malvaceae</td>
<td align="center">
<italic>Cola nitida</italic> (Vent.) Schott and Endl.</td>
<td align="center">Cola</td>
<td align="center">Nut and barks</td>
<td align="center">Tree</td>
<td align="center">0.05</td>
<td align="center">0.14</td>
<td align="center">25.73</td>
</tr>
<tr>
<td align="center">43</td>
<td align="center">Moraceae</td>
<td align="center">
<italic>Milicia excelsa</italic> (Welw.) C.C.Berg.</td>
<td align="center">Iroko</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.02</td>
<td align="center">0.02</td>
<td align="center">8.44</td>
</tr>
<tr>
<td align="center">44</td>
<td align="center">Moringaceae</td>
<td align="center">
<italic>Moringa oleifera</italic> Lam.</td>
<td align="center">Moringa</td>
<td align="center">Leaves</td>
<td align="center">Tree</td>
<td align="center">0.04</td>
<td align="center">0.09</td>
<td align="center">21.3</td>
</tr>
<tr>
<td align="center">45</td>
<td align="center">Musaceae</td>
<td align="center">
<italic>Musa x paradisiaca</italic> L.</td>
<td align="center">Mupala</td>
<td align="center">Leaves</td>
<td align="center">Perennial</td>
<td align="center">0.11</td>
<td align="center">0.26</td>
<td align="center">34.63</td>
</tr>
<tr>
<td align="center">46</td>
<td rowspan="3" align="center">Myristicaceae</td>
<td align="center">
<italic>Pycnanthus angolensis</italic> (Welw.) Warb.</td>
<td align="center">Ilomba</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.01</td>
<td align="center">4.22</td>
</tr>
<tr>
<td align="center">47</td>
<td align="center">
<italic>Scyphocephalium mannii</italic> (Benth.) Warb.</td>
<td align="center">Sorro</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.07</td>
<td align="center">17.04</td>
</tr>
<tr>
<td align="center">48</td>
<td align="center">
<italic>Staudtia kamerunensis</italic> Warb.</td>
<td align="center">Niove</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.09</td>
<td align="center">0.45</td>
<td align="center">18.95</td>
</tr>
<tr>
<td align="center">49</td>
<td rowspan="2" align="center">Myrtaceae</td>
<td align="center">
<italic>Psidium guajava</italic> L.</td>
<td align="center">Ngwaba</td>
<td align="center">Leaves</td>
<td align="center">Shrub or small tree</td>
<td align="center">0.07</td>
<td align="center">0.2</td>
<td align="center">34.32</td>
</tr>
<tr>
<td align="center">50</td>
<td align="center">
<italic>Syzygium aromaticum</italic> (L.) Merr. and L.M.Perry.</td>
<td align="center">Clove</td>
<td align="center">Dried flowers</td>
<td align="center">Tree</td>
<td align="center">0.04</td>
<td align="center">0.08</td>
<td align="center">29.58</td>
</tr>
<tr>
<td align="center">51</td>
<td align="center">Poaceae</td>
<td align="center">
<italic>Cymbopogon citratus</italic> (DC.) Stapf</td>
<td align="center">Esosi</td>
<td align="center">Leaves</td>
<td align="center">Perennial grass</td>
<td align="center">0.1</td>
<td align="center">0.26</td>
<td align="center">34.63</td>
</tr>
<tr>
<td align="center">52</td>
<td align="center">Rhamnaceae</td>
<td align="center">
<italic>Maesopsis eminii</italic> Engl.</td>
<td align="center">Mosangea</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.01</td>
<td align="center">4.22</td>
</tr>
<tr>
<td align="center">53</td>
<td rowspan="3" align="center">Rubiaceae</td>
<td align="center">
<italic>Mitragyna ciliata</italic> Aubr&#xe9;v. and Pellegr.</td>
<td align="center">Bahia</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.09</td>
<td align="center">0.13</td>
<td align="center">17.34</td>
</tr>
<tr>
<td align="center">54</td>
<td align="center">
<italic>Coffea mannii</italic> (Hook.f.) A.P.Davis</td>
<td align="center">Azeme</td>
<td align="center">Barks</td>
<td align="center">Shrub</td>
<td align="center">0.01</td>
<td align="center">0.02</td>
<td align="center">8.44</td>
</tr>
<tr>
<td align="center">55</td>
<td align="center">
<italic>Sarcocephalus pobeguinii</italic> Hua ex Pob&#xe9;g. and Pellegr.</td>
<td align="center">Kombe ningo</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.07</td>
<td align="center">17.04</td>
</tr>
<tr>
<td align="center">56</td>
<td rowspan="2" align="center">Rutaceae</td>
<td align="center">
<italic>Citrus</italic> sp.</td>
<td align="center">Diali</td>
<td align="center">Fruits, barks, leaves</td>
<td align="center">Shrubs or small tree</td>
<td align="center">0.23</td>
<td align="center">0.66</td>
<td align="center">36.66</td>
</tr>
<tr>
<td align="center">57</td>
<td align="center">
<italic>Zanthoxylum heitzii</italic> (Aubr&#xe9;v. and Pellegr.) P. G. Waterman</td>
<td align="center">Ndungu</td>
<td align="center">Leaves and barks</td>
<td align="center">Tree</td>
<td align="center">0.01</td>
<td align="center">0.01</td>
<td align="center">4.22</td>
</tr>
<tr>
<td align="center">58</td>
<td align="center">Simabouraceae</td>
<td align="center">
<italic>Simaba africana</italic> Baill.</td>
<td align="center">Issindu ighale</td>
<td align="center">Roots</td>
<td align="center">Tree</td>
<td align="center">0.03</td>
<td align="center">0.03</td>
<td align="center">12.66</td>
</tr>
<tr>
<td align="center">59</td>
<td align="center">Solanaceae</td>
<td align="center">
<italic>Capsicum chinense</italic> Jacq.</td>
<td align="center">Nungu</td>
<td align="center">Seeds</td>
<td align="center">Shrub</td>
<td align="center">0.02</td>
<td align="center">0.04</td>
<td align="center">16.88</td>
</tr>
<tr>
<td align="center">60</td>
<td align="center">Tiliaceae</td>
<td align="center">
<italic>Ancistrocarpus densispinosus</italic> Oliv.</td>
<td align="center">Eege</td>
<td align="center">Leaves</td>
<td align="center">Shrub or small tree</td>
<td align="center">0.01</td>
<td align="center">0.04</td>
<td align="center">16.88</td>
</tr>
<tr>
<td align="center">61</td>
<td align="center">Urticaceae</td>
<td align="center">
<italic>Musanga cecropioides</italic> R.Br. ex Tedlie</td>
<td align="center">Parasolier</td>
<td align="center">Barks</td>
<td align="center">Tree</td>
<td align="center">0.03</td>
<td align="center">0.13</td>
<td align="center">17.34</td>
</tr>
<tr>
<td align="center">62</td>
<td align="center">Vitaceae</td>
<td align="center">
<italic>Cissus quadrangularis</italic> L.</td>
<td align="center">Dyaba</td>
<td align="center">Aerial parts</td>
<td align="center">Perennial herb</td>
<td align="center">0.02</td>
<td align="center">0.08</td>
<td align="center">17.08</td>
</tr>
<tr>
<td align="center">63</td>
<td align="center">Zingiberaceae</td>
<td align="center">
<italic>Zingiber officinale</italic> Roscoe</td>
<td align="center">Maketa</td>
<td align="center">Rhizomes</td>
<td align="center">Perennial herb</td>
<td align="center">0.17</td>
<td align="center">0.47</td>
<td align="center">35.72</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The family most abundantly represented, with the highest number of species, was Fabaceae (nine species), followed by Annonaceae (five species), Apocynaceae, Asteraceae, Burseraceae, Liliaceae, Myristicaceae, and Rubiaceae (three species each). Other families were represented by only one or two species, such as Lamiaceae, Musaceae, and Zingiberaceae. These plants were primarily characterized as trees, perennials, shrubs, or weeds. <xref ref-type="table" rid="T3">Table 3</xref> presents 10 popular recipes cited by the informants for either prevention, treatment, or both. The table indicates the recipe, the plant parts used, the modes of preparation and administration, and the posology, which was mostly 2&#x2013;3 times per day, especially for the remedies taken orally. The recipes were a mixture of at least two different plants and could be made of more than nine plants.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Ten popular recipes used in the prevention and/or treatment of COVID-19-related symptoms.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center"/>
<th colspan="2" align="center">Recipe</th>
<th align="center">Plant parts</th>
<th align="center">Preparation</th>
<th align="center">Posology</th>
<th align="center">Administration</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td align="center">
<italic>Annickia chlorantha &#x2b; Alstonia congensis &#x2b; Syzygium aromaticum</italic>
</td>
<td align="center">Nfo&#x2019;o &#x2b; Ekouk &#x2b; Clous de Girofle</td>
<td align="center">Barks and flower</td>
<td align="center">Maceration, infusion, and decoction</td>
<td align="center">2&#x2013;3 times/day</td>
<td align="center">Drink</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">
<italic>Musa x paradisiaca &#x2b; Carica papaya &#x2b; Mangifera indica &#x2b; Cymbopogon citratus &#x2b; Citrus</italic> sp. <italic>&#x2b; Aloe vera &#x2b; Psidium guajava</italic>
</td>
<td align="center">Mupala &#x2b; Mulolu &#x2b; Mwiba &#x2b; Esosi &#x2b; Diali &#x2b; Aloe&#x2b;<break/>Ngwaba</td>
<td align="center">Dead leaves, fresh leaves, and fruit</td>
<td align="center">Decoction</td>
<td align="center">2&#x2013;3 times/day</td>
<td align="center">Drink</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">
<italic>Mangifera indica &#x2b; Psidium guajava &#x2b; Cymbopogon citratus</italic>
</td>
<td align="center">Mwiba &#x2b; Ngwaba &#x2b; Esosi</td>
<td align="center">Leaves</td>
<td align="center">Decoction</td>
<td align="center">Twice/day</td>
<td align="center">Drink<break/>Steam bath</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">
<italic>Annickia chlorantha &#x2b; Carica papaya &#x2b; Zingiber officinale &#x2b; Citrus</italic> sp.</td>
<td align="center">Nfo&#x2019;o &#x2b; Mulolu &#x2b; Maketa &#x2b; Diali</td>
<td align="center">Barks, fruits, rhizome, and leaves</td>
<td align="center">Decoction</td>
<td align="center">2&#x2013;3 times/day</td>
<td align="center">Drink</td>
</tr>
<tr>
<td align="center">5</td>
<td align="center">
<italic>Allium sativum &#x2b; Citrus</italic> sp. <italic>&#x2b; Zingiber officinale</italic>
</td>
<td align="center">Ail &#x2b; Diali &#x2b; Maketa &#x2b; Honney</td>
<td align="center">Fruit, bulb and rhizome</td>
<td align="center">Maceration</td>
<td align="center">More than three times/day</td>
<td align="center">Drink</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">
<italic>Gymnanthemum amygdalinum &#x2b; Carica papaya &#x2b; Mangifera indica</italic>
</td>
<td align="center">Ndol&#xe8;&#x2b; Mulolu &#x2b; Mwiba</td>
<td align="center">Leaves</td>
<td align="center">Infusion</td>
<td align="center">2&#x2013;3 times/day</td>
<td align="center">Drink</td>
</tr>
<tr>
<td align="center">7</td>
<td align="center">
<italic>Moringa oleifera &#x2b; Senna occidentalis</italic>
</td>
<td align="center">Moringa &#x2b; Muwiwisi</td>
<td align="center">Barks and leaves</td>
<td align="center">Infusion</td>
<td align="center">Once/day</td>
<td align="center">Steam bath</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">
<italic>Artemisia annua &#x2b; Cymbopogon citratus &#x2b; Annona muricata &#x2b; Tetrapleura tetraptera</italic>
</td>
<td align="center">Artemesia &#x2b; Esosi &#x2b; corosole &#x2b; Gyaga</td>
<td align="center">Leaves and fruit</td>
<td align="center">Infusion</td>
<td align="center">Once/day</td>
<td align="center">Enema</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">
<italic>Annickia chlorantha &#x2b; Alstonia congensis &#x2b; Ocimum gratissimum</italic>
</td>
<td align="center">&#x143;fo&#x2019;o &#x2b; Ekouk &#x2b; Messep</td>
<td align="center">Barks</td>
<td align="center">Infusion</td>
<td align="center">Once/day</td>
<td align="center">Drink</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">
<italic>Senna occidentalis &#x2b; Newbouldia laevis &#x2b; Zingiber officinale &#x2b; Citrus</italic> sp. <italic>&#x2b; Cymbopogon citratus &#x2b; Allium cepa &#x2b; Allium sativum &#x2b;</italic>
<break/>
<italic>Syzygium aromaticum &#x2b; Cola nitida</italic>
</td>
<td align="center">Kink&#xe9;liba &#x2b; Isope &#x2b; Maketa &#x2b; Diali &#x2b; Esosi &#x2b; Oignon &#x2b; Ail &#x2b; Clous de Girofle &#x2b; Cola</td>
<td align="center">Leaves, fruit, rhizome, and bulb</td>
<td align="center">Maceration, infusion, and decoction</td>
<td align="center">2&#x2013;3 times/day</td>
<td align="center">Drink</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-7">
<title>3.7 Importance of the plants through RFC, UV, and RI</title>
<p>Several indexes allowed the identification of the most valuable plants that were used to treat COVID-19 symptoms in Gabon (<xref ref-type="table" rid="T2">Table 2</xref>). On a global scale, species exhibiting the highest values across the various indexes calculated are deemed useful and significant for COVID-19 management and should be further assessed through pharmacological analysis for drug development purposes.</p>
<p>The relative frequency of citation (RFC) index varied from 0.01 to 0.26 and indicated that species like <italic>Annickia chlorantha</italic> (0.26), <italic>Citrus</italic> sp. (0.23), <italic>Alstonia congensis</italic> (0.22), <italic>Zingiber officinale</italic> (0.17), and <italic>Carica papaya</italic> (0.15) were the most frequently cited by informants. The lowest index calculated (0.01) was for plant species like <italic>Ageratum conyzoides, Dacryodes edulis</italic>, or <italic>Sarcocephalus pobeguini.</italic>
</p>
<p>In the present study, the species have use values (UVs) ranging from 0.01 to 0.75. Species such as <italic>Annickia chlorantha</italic> (0.75), <italic>Alstonia congensis</italic> (0.71)<italic>, Citrus</italic> sp. (0.66), <italic>Carica papaya</italic> (0.62), <italic>Zingiber officinale</italic> (0.47), <italic>Staudtia kamerunensis</italic> (0.45), and <italic>Mangifera indica</italic> (0.32) presented the highest values. The lowest value of 0.01 was found for <italic>Zanthoxylum Heitzii</italic> and <italic>Copaifera religiosa.</italic>
</p>
<p>The relative importance (RI) index had percentages ranging from 4.22% to 45.46%. The highest values were displayed by <italic>Annickia chlorantha</italic> (45.46%), <italic>Alstonia congensis</italic> (45.25%), <italic>Carica papaya</italic> (44.78%), <italic>Ocimum gratissimum</italic> (42.65%), <italic>Gymnanthemum amygdalinum</italic> (38.64%), <italic>Citrus</italic> sp. (36.66%), <italic>Zingiber officinale</italic> (35.72%), <italic>Combretum micranthum</italic> (35.1%), <italic>Mangifera indica</italic> (34.94%), <italic>Cymbopogon citratus</italic> (34.64%), <italic>Musa x paradisiaca</italic> (34.64%), and <italic>Artemisia annua</italic> (34.58%). The lowest value calculated (4.22%) corresponded to <italic>Zanthoxylum heitzii</italic> and <italic>Copaifera religiosa.</italic>
</p>
</sec>
<sec id="s3-8">
<title>3.8 ICF and POPUT</title>
<p>The survey results revealed that the cited plants were employed to address various symptoms associated with COVID-19, including cold, cough, breathlessness, fatigue, fever, and general pain. The calculated indexes indicated that ICF values ranged from 0 to 0.71. The highest ICF (0.71) was observed for fatigue, followed by general pain (0.61), fever (0.6), cough (0.59), joint pain (0.58), respiratory condition (0.56), and breathlessness (0.55). The lowest ICF values were obtained for colic and sneezing (<xref ref-type="fig" rid="F8">Figure 8</xref>).</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Informant consensus factor (ICF).</p>
</caption>
<graphic xlink:href="fphar-15-1393636-g008.tif"/>
</fig>
<p>Regarding the POPUT index, the values varied from 0.002 to 0.21. Symptoms such as cough, fever, respiratory condition, and breathlessness obtained the highest values (higher than 0.1), while the lowest values were calculated for skin rashes, colic, and sore throat (<xref ref-type="fig" rid="F9">Figure 9</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Popular therapeutic use value (POPUT).</p>
</caption>
<graphic xlink:href="fphar-15-1393636-g009.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>The present study aimed to highlight the plants used in Gabon to prevent and/or treat symptoms associated with COVID-19. Survey participants included individuals from the general population, traditional healers, and medicinal plant vendors. The findings revealed that most of the participants were male subjects, with the predominant age group being 31&#x2013;44 years. These results suggest that men displayed a greater interest in the survey compared to women, likely due to the prevalence of male traditional healers and medicinal plant vendors. The age group of 31&#x2013;44 years was particularly noteworthy as it represents the demographic most inclined to embrace traditional medicine and seek to reclaim traditional knowledge. In addition, a large number of informants had a university education. The high level of education among the majority of respondents indicates that, despite heightened awareness of the ongoing pandemic, the population continues to associate medicinal plants with the prevention and treatment of diseases exhibiting flu-like symptoms. <xref ref-type="bibr" rid="B38">Khadka et al. (2021)</xref> supported this finding, reporting that educated people had a preference for modern medicine, but during COVID-19, they used medicinal plants as an alternative medicine option. Gabon is very rich in plant biodiversity, and the knowledge of medicinal plants used to treat infections or conditions such as malaria or influenza is deeply rooted within the population, is transmitted from generation to generation, and is often shared by traditional healers with individuals seeking information. Consequently, when the pandemic emerged, the Gabonese population likened it to a blend of malaria and flu due to the overlapping symptoms with COVID-19, including fever, joint and body ache, fatigue, coughing, and cold symptoms. Subsequently, people began treating these symptoms using plants commonly used to treat influenza and malaria. The study findings indicate that these specific symptoms were the most frequently treated by the population. Surveys conducted in different countries such as Bangladesh and South Africa also described these symptoms as the most commonly treated in their respective countries (<xref ref-type="bibr" rid="B63">Phumthum et al., 2021</xref>; <xref ref-type="bibr" rid="B76">Rafiqul Islam et al., 2021</xref>; <xref ref-type="bibr" rid="B75">Zondi and Ehaine, 2022</xref>). The remedies predominantly involved the use of barks and leaves, prepared through infusion, decoction, or maceration. Notably, steam baths emerged as the second most common mode of administration, a method traditionally employed in Gabon specifically for treating malaria. Other studies also mentioned steam baths or steam inhalation as modes of administration, arguing that this method has been used for decades as a home remedy for cold and pain (<xref ref-type="bibr" rid="B76">Rafiqul Islam et al., 2021</xref>; <xref ref-type="bibr" rid="B52">Mvogo Ottou et al., 2022</xref>; <xref ref-type="bibr" rid="B75">Zondi and Ehaine, 2022</xref>). The study also revealed that the majority of respondents had contracted COVID-19 and that only 3% of them did not take treatment based on medicinal plants. Among the remaining respondents who claimed to have never developed any symptoms, medicinal plants were used for prevention. These results suggest that medicinal plants may have provided protection against coronavirus infection for individuals who used them. Further research, including clinical trials, is necessary to confirm these findings and to determine the safety and efficacy of the plants. In a similar context, results from a study carried out in Peru on the use of medicinal plants for COVID-19 prevention and respiratory symptom treatment showed that most of their respondents did use plants for these purposes (<xref ref-type="bibr" rid="B71">Villena-Tejada et al., 2021</xref>).</p>
<p>Ethnobotanical surveys often employ various indexes to unveil or highlight medicinal plants that are most frequently used or deemed most beneficial for the treatment of a specific disease. These indexes help quantify and analyze the importance of different plant species within a particular cultural or ecological context. In the present study, the results indicated that several indexes, including RFC, UV, or RI, collectively highlighted the plants most frequently used for the prevention or treatment of COVID-19. Notably, <italic>Annickia chlorantha, Allium</italic> sp.<italic>, Citrus</italic> sp.<italic>, Alstonia congensis, Zingiber officinale, Carica papaya, Staudtia kamerunensis, Mangifera indica, Combretum micranthum, Cymbopogon citratus, Newbouldia laevis, Ocimum gratissimum, Gymnanthemum amygdalinum, Musa x paradisiaca,</italic> and <italic>Artemisia annua</italic> emerged as the most commonly cited. Surveys conducted worldwide documented the use of several of these plants in the prevention and/or treatment of the disease, regardless of geographical location, climate diversity, or the variability of flora in the different regions. Hence, plants like <italic>Allium</italic> sp.<italic>, Citrus</italic> sp.<italic>, Zingiber officinale, Carica papaya, Mentha piperita, Cymbopogon citratus</italic>, and <italic>Ocimum</italic> sp. were used in diverse regions such as Cameroon, Morocco, Iraq, Thailand, Nepal, and Turkey (<xref ref-type="bibr" rid="B77">Akbulut, 2021</xref>; <xref ref-type="bibr" rid="B38">Khadka et al., 2021</xref>; <xref ref-type="bibr" rid="B63">Phumthum et al., 2021</xref>; <xref ref-type="bibr" rid="B2">Abdulrahman et al., 2022</xref>; <xref ref-type="bibr" rid="B52">Mvogo Ottou et al., 2022</xref>). ICF and POPUT are indispensable tools in ethnopharmacological surveys, offering valuable insights into the consensus, popularity, and cultural significance of medicinal plants within a community (<xref ref-type="bibr" rid="B11">Asiimwe et al., 2021</xref>; <xref ref-type="bibr" rid="B9">Anwar et al., 2023</xref>). Their application enhances the understanding of traditional healthcare practices and guides scientific research efforts. In this regard, symptoms such as fever, cough, and fatigue, which displayed high index values, appeared to be well-managed by the population, who are knowledgeable about several plants that can alleviate these symptoms. These plants merit further investigation based on the specific symptoms they are reported to alleviate.</p>
<p>The study findings suggest that plants traditionally used in the treatment of malaria are potential candidates for drug development against coronaviruses. Notably, the species prominently cited in this study have undergone assessment for their antiplasmodial activity, both in animal models and <italic>in vitro</italic>, demonstrating significant potential for managing malaria (<xref ref-type="bibr" rid="B6">Afolabi and Oyewole, 2020</xref>; <xref ref-type="bibr" rid="B68">Tajbakhsh et al., 2021</xref>; <xref ref-type="bibr" rid="B78">Indradi et al., 2023</xref>). These plants include <italic>Annickia chlorantha</italic>, <italic>Zingiber officinale, Alstonia congensis, Newbouldia laevis, Ocimum gratissimum, Gymnanthemum amygdalinum, Artemisia annua</italic>, and <italic>Carica papaya</italic> (<xref ref-type="bibr" rid="B18">Cimanga et al., 2019</xref>; <xref ref-type="bibr" rid="B3">Abubakar et al., 2020</xref>; <xref ref-type="bibr" rid="B12">Assogba, 2020</xref>; <xref ref-type="bibr" rid="B72">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="B42">Kshirsagar and Rao, 2021</xref>; <xref ref-type="bibr" rid="B68">Tajbakhsh et al., 2021</xref>). Furthermore, the same plants demonstrate noteworthy anti-inflammatory and immunomodulatory effects, which are particularly valuable in addressing the cytokine storm induced by COVID-19 (<xref ref-type="bibr" rid="B79">Omoregie and Pal, 2016</xref>; <xref ref-type="bibr" rid="B22">Eftekhar et al., 2019</xref>; <xref ref-type="bibr" rid="B3">Abubakar et al., 2020</xref>; <xref ref-type="bibr" rid="B59">Olaoye et al., 2021</xref>; <xref ref-type="bibr" rid="B42">Kshirsagar and Rao, 2021</xref>; <xref ref-type="bibr" rid="B49">Mezui et al., 2022</xref>; <xref ref-type="bibr" rid="B37">Kamelnia et al., 2023</xref>; <xref ref-type="bibr" rid="B56">Nishitha et al., 2023</xref>; <xref ref-type="bibr" rid="B70">Ukwubile et al., 2023</xref>; <xref ref-type="bibr" rid="B74">Yuandani et al., 2023</xref>). In addition, plants such as <italic>Z. officinale, Artemisia annua, Carica papaya</italic>, <italic>Citrus</italic> sp., <italic>Allium sativum,</italic> and <italic>Cymbopogon citratus</italic> were assessed for their antiviral activity against SARS-CoV-2 (<xref ref-type="bibr" rid="B14">Belkessam et al., 2021</xref>; <xref ref-type="bibr" rid="B28">Haridas et al., 2021</xref>; <xref ref-type="bibr" rid="B58">Oladele et al., 2021</xref>; <xref ref-type="bibr" rid="B69">Thuy et al., 2021</xref>; <xref ref-type="bibr" rid="B5">Adel et al., 2022</xref>) (<xref ref-type="table" rid="T4">Table 4</xref>). Various studies, using molecular docking, cell-based assays, and clinical trials, were conducted to elucidate the mechanisms underlying the antiviral activity of the cited plants. Collectively, the findings of these studies suggest that all tested plants are potential putative inhibitors of the proliferation of SARS-CoV-2, ACE2 host receptor, and major protease. They impede the attachment, membrane fusion, and internalization of SARS-CoV-2 into host cells, as well as the viral replication and transcription processes. Furthermore, numerous trials currently investigate several promising and potent phyto-based formulations for the treatment of SARS-CoV-2 infections (<xref ref-type="bibr" rid="B8">Alam et al., 2021</xref>). These formulations include a range of bioactive metabolites, plant extracts, functional foods, and plant-based preparations. For example, hesperidin, which is present in some of the plants described in our study (<xref ref-type="table" rid="T4">Table 4</xref>), is involved as primary therapy in a phase II trial (<xref ref-type="bibr" rid="B8">Alam et al., 2021</xref>). In addition, a preliminary trial of the effect of <italic>Allium sativum</italic> in patients with SARS-CoV-2 showed an improvement in the general condition with the resolution of most of the symptoms (fever, headache, asthenia, ageusia, anosmia, and diarrhea) (<xref ref-type="bibr" rid="B14">Belkessam et al., 2021</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Active compounds from medicinal plants with potential anti-SARS-CoV activity.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Plant name</th>
<th align="center">Active compounds</th>
<th align="center">Mechanisms</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">
<italic>Ageratum conyzoides</italic>
</td>
<td align="left">Chromene, hydroxamic acid, and apigenin</td>
<td align="left">Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B30">Hariono et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Allium cepa</italic>
</td>
<td align="left">Oleanolic acid, quercitrin, peonidin progesterone, and 3-arabinoside</td>
<td align="left">Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B24">Fitriani and Utami (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Allium sativum</italic>
</td>
<td align="left">Alliin, S-propyl cysteine, S-allylcysteine, squalene, S-ethylcysteine, 1,4-dihydro-2,3-benzoxathiin 3-oxide, 1,2,3-propanetriyl ester, trans-13-octadecenoic acid, and methyl-11-hexadecenoate<break/>Fresh bulbs</td>
<td align="left">Inhibit SARS-CoV-2 6LU7 protein<break/>Improvement in the general condition with the resolution of most of the symptoms after 2 days</td>
<td align="left">
<xref ref-type="bibr" rid="B62">Pandey et al. (2021)</xref>
<break/>
<xref ref-type="bibr" rid="B14">Belkessam et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Aloe vera</italic>
</td>
<td align="left">Feralolide, isoaloeresin, aloeresine, and aloin A</td>
<td align="left">Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B50">Mpiana, et al. (2020)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Annona muricata</italic>
</td>
<td align="left">Roseoside, coreximine<break/>Javoricin, 5-(1-hydroxytridecyl)oxolan-2-one, arianacin, annomuricin A, annomuricin B, annomuricin C, muricatocin C, muricatacin, <italic>cis</italic>-annonacin, annonacin-10-one, and <italic>cis</italic>-goniothalamicin</td>
<td align="left">Inhibit the main protease and spike protein<break/>Inhibit the spike protein</td>
<td align="left">
<xref ref-type="bibr" rid="B4">Adedotun et al. (2023)</xref>
<break/>
<xref ref-type="bibr" rid="B64">Prasad et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Artemisia annua</italic>
</td>
<td align="left">Scopoletin, arteannuin, and artemisinic acid</td>
<td align="left">Inhibit the main protease and spike protein</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Baggieri et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Capsicum chinense</italic>
</td>
<td align="left">Kaempferol, lutein, zeaxanthin, and quercetin</td>
<td align="left">Inhibit main protease, ACE-2, and TMPRSS2 proteins</td>
<td align="left">
<xref ref-type="bibr" rid="B66">Rahmattullah et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Carica papaya</italic>
</td>
<td align="left">Papain, &#x3b2;-cryptoxanthin, lycopene, lutein, &#x3b2;-carotene, dichloro-9,10-diphenylanthracene-9,10-diol, lupeol<break/>Deoxyquercetin, riboflavin, kaempferol, catechin, deoxykaempferol, and apigenin</td>
<td align="left">Inhibitory activity against main proteases of SARS-CoV-2, SARS-CoV, and MERS-CoV<break/>Inhibit 3-chymotrypsin-like protease, papain-like protease, RNA-dependent RNA-polymerase, endonuclease, and S1 and S2 regions of the spike protein</td>
<td align="left">
<xref ref-type="bibr" rid="B54">Nallusamy et al. (2021)</xref>
<break/>
<xref ref-type="bibr" rid="B31">Hariyono et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Cissus quadrangularis</italic>
</td>
<td align="left">Taraxerol and &#x3b2;-amyrin</td>
<td align="left">Inhibitory activity against main proteases of SARS-CoV-2, SARS-CoV, and MERS-CoV</td>
<td align="left">
<xref ref-type="bibr" rid="B54">Nallusamy et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Citrus</italic> sp.</td>
<td align="left">Naringin, naringenin, hesperetin, hesperidin, nobiletin<break/>Obacunone, limonin, nomilin, hesperidin<break/>Sakuranetin, isosacuranetin, tetra-o-methylscutallerin, rutoside, eriodictoyl, quercetin, neoeriocitrin, diosmin, and diosmetin</td>
<td align="left">Inhibit ACE2 receptor<break/>Virucidal activity on Vero E6-infected cells<break/>Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B43">Liu et al. (2022)</xref>
<break/>
<xref ref-type="bibr" rid="B44">Magurano et al. (2021)</xref>
<break/>
<xref ref-type="bibr" rid="B45">Maulydia et al. (2022)</xref>
<break/>
<xref ref-type="bibr" rid="B39">Khan et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Cymbopogon citratus</italic>
</td>
<td align="left">Tannic acid, isoorientin, luteolin, swertiajaponin, chlorogenic acid, cymbopogonol, warfarin, citral diethyl acetal, citral acetate, kaempferol, and cianidanol</td>
<td align="left">Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B7">Ahmad et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Gymnanthemum amygdalinum</italic>
</td>
<td align="left">Veronicoside A, vernodalin and vernolide, vernomygdin and 11, 13-dihydrovernodalin, and neoandrographolide</td>
<td align="left">Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B58">Oladele et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Mangifera indica</italic>
</td>
<td align="left">Ellagic acid, epicatechin, gallic acid, mangiferin, kaempferol <break/>Amentoflavone, catechin, mangiferin, and kaempferol</td>
<td align="left">Inhibit SARS-CoV-2 main protease<break/>Inhibitory activity against main proteases of SARS-CoV-2, SARS-CoV, and MERS-CoV</td>
<td align="left">
<xref ref-type="bibr" rid="B32">Haruna et al. (2021)</xref>
<break/>
<xref ref-type="bibr" rid="B54">Nallusamy et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Moringa oleifera</italic>
</td>
<td align="left">Catechin, ellagic acid, chlorogenic acid, quercetin, Myrecitin, and kaempferol<break/>Epicatechin, niazirin, glucotropaeolin, quercetin, apigenin, luteolin, rutin, kaempferol, isorhamnetin, myricetin, astragalin, marumoside A, and moringyne</td>
<td align="left">Inhibit SARS-CoV-2 main protease<break/>Inhibit the human TMPRSS2 protein</td>
<td align="left">
<xref ref-type="bibr" rid="B32">Haruna et al. (2021)</xref>
<break/>
<xref ref-type="bibr" rid="B60">Oyedara et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Musa x paradisiaca</italic>
</td>
<td align="left">Leucocyanidin, quercetin, sitoindoside-I, 6S-9R-roseoside, hydroxyanigorufone, and 1,2-dihydro-1,2,3-trihydroxy-9-[4 methyphenylphenalene]</td>
<td align="left">Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B29">Harini and Gopal (2022)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Ocimum gratissimum</italic>
</td>
<td align="left">Luteolin, rosmarinic acid, chicoric acid, and myricetin</td>
<td align="left">Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B27">Gyebi et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Psidium guajava</italic>
</td>
<td align="left">Gamma-sitosterol, peri-xanthenoxanthene-4,10-dione,2,8-bis (1-methylethyl)<break/>
<italic>P. guajava</italic> extract supplementation</td>
<td align="left">Inhibit main protease, papain-like protease, and spike and ACE2 receptor.<break/>Neutrophil/lymphocyte ratio reduction, PCR-based conversion time acceleration, and increase in the recovery rate of subjects with mild and asymptomatic COVID-19 infection in a single-blinded, randomized clinical trial</td>
<td align="left">
<xref ref-type="bibr" rid="B23">Fadilah et al. (2021)</xref>
<break/>
<xref ref-type="bibr" rid="B33">Heppy et al. (2023)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Pycnanthus angolensis</italic>
</td>
<td align="left">
<italic>Pycnanthuquinone</italic>
<break/>
<italic>C</italic> and <italic>pycnanthuquinone A</italic>
</td>
<td align="left">Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B17">Chtita et al. (2022)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Syzygium aromaticum</italic>
</td>
<td align="left">Campesterol, stigmasterol, crategolic acid, oleanolic acid, and bicornin<break/>Polysaccharides</td>
<td align="left">Inhibit SARS-CoV-2 main protease<break/>Block SARS-CoV-2 replication</td>
<td align="left">
<xref ref-type="bibr" rid="B1">Abdelli and Hamed (2023)</xref>
<break/>
<xref ref-type="bibr" rid="B36">Jin et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Xylopia aethiopica</italic>
</td>
<td align="left">Phenolic compounds and essential oils<break/>Liriodenine, lysicamine, o-methylmoschatoline, oxoglaucine, and oxophoebine</td>
<td align="left">Antiviral activity against SARS-CoV-1 and SARS-CoV-2 pseudoviruses infecting HeLa ACE-2 cells<break/>Inhibit SARS-CoV-2 main protease</td>
<td align="left">
<xref ref-type="bibr" rid="B48">Melo et al. (2021)</xref>
<break/>
<xref ref-type="bibr" rid="B57">Ogunyemi and Oderinlo (2022)</xref>
</td>
</tr>
<tr>
<td align="center">
<italic>Zingiber officinale</italic>
</td>
<td align="left">Gingerenone-A, chlorogenic acid, and hesperidin<break/>Cyanin<break/>Thujopsene, zingiberol, Gamma-elemene, beta-elemene, and aromadendrene</td>
<td align="left">Block the entry of SARS-CoV-2 through its ACE2 receptors, binding affinities to Mpro and S protein<break/>Inhibitory activity against main proteases of SARS-CoV-2, SARS-CoV, and MERS-CoV<break/>Inhibit human TMPRSS2 protein</td>
<td align="left">
<xref ref-type="bibr" rid="B35">Jahan et al. (2021)</xref>
<break/>
<xref ref-type="bibr" rid="B54">Nallusamy et al. (2021)</xref>
<break/>
<xref ref-type="bibr" rid="B57">Ogunyemi and Oderinlo (2022)</xref>
</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Analysis of the data highlighted that all the plants described in <xref ref-type="table" rid="T4">Table 4</xref> showing promising activity against SARS-CoV-2 are listed in <xref ref-type="table" rid="T3">Table 3</xref> as components of the popular recipes used in the prevention and/or treatment of COVID-19. A combination of these plants with antiviral and anti-inflammatory effects in a recipe strengthens the hypothesis that these recipes could effectively prevent or treat the coronavirus infection, thereby sustaining their use by the Gabonese population. So, taken together, the results of the present study showed the potential of medicinal plants as independent therapies, complementary or alternative medicines for the management of symptoms associated with COVID-19.</p>
<p>A concern could be raised regarding the potential overharvesting of certain species such as <italic>Annickia chlorantha, Allium</italic> sp.<italic>, Citrus</italic> sp.<italic>, Alstonia congensis, Zingiber officinale, Carica papaya, Staudtia kamerunensis, Mangifera indica, Combretum micranthum,</italic> and <italic>Cymbopogon citratus</italic> due to increased demand during the pandemic. However, Gabon is predominantly covered by forest (over 80%), and most of these species are distributed across all regions of the country (<xref ref-type="bibr" rid="B80">Wakefield Adhya, 2024</xref>). This suggests that the overharvesting of these species during the pandemic may not have had a significant impact on their abundance. Nevertheless, it is important to develop conservation planning for species with significant bioactivity. Conservation efforts could include measures such as sustainable harvesting practices and community-based management initiatives to ensure the long-term viability of these species and their ecosystems.</p>
<sec id="s4-1">
<title>4.1 Limitations</title>
<p>The online ethnobotanical survey fell short of the anticipated participant count, primarily attributed to participants&#x2019; failure to share the survey link and a general lack of interest in responding to online surveys. Furthermore, the use of online surveys is not common among the Gabonese population, resulting in responders who are likely to possess a certain level of education and understand the significance of the survey. This could lead to potential bias regarding the sociodemographic profile of the responders. Furthermore, a field-based study extended to all the regions of the country might cover responses from all levels and classes of people.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>COVID-19 has emerged as the most prolonged and deadly coronavirus outbreak witnessed worldwide in the past 50 years. Despite extensive exploration of various treatments, no definitive solution has been identified, and vaccination efforts have encountered limitations in the face of evolving virus variants. Ethnobotanical surveys conducted worldwide have explored the potential of plants to alleviate COVID-19 symptoms, yielding positive results and encouraging the use of medicinal plants for coronavirus infection management. In Gabon, the country&#x2019;s relatively low rate of cases and fatalities has been attributed to the consumption of plants traditionally used to treat malaria and flu, both as a preventive measure and in the treatment of COVID-19. Further investigation into the mechanisms of these plants such as anti-inflammatory, antioxidant, antiviral, and immunomodulatory activities is crucial for the development of plant-based medicines that could effectively act during the early stages of SARS-CoV-2 infection. This research holds promise as a significant alternative in the preparation for the inevitable occurrence of future coronavirus epidemics in the coming years. Understanding and harnessing the potential of these medicinal plants may provide valuable tools for mitigating the impact of such outbreaks.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material; further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>MB: conceptualization, data curation, formal analysis, methodology, writing&#x2013;original draft, and writing&#x2013;review and editing. AM: conceptualization, data curation, formal analysis, investigation, methodology, and writing&#x2013;review and editing. JM: formal analysis, investigation, resources, and writing&#x2013;review and editing. SA: conceptualization, supervision, validation, visualization, and writing&#x2013;review and editing. LM: conceptualization, methodology, resources, supervision, validation, and writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. Gabonese government through PAZOPIA project.</p>
</sec>
<ack>
<p>The authors thank the informants who agreed to participate in this study and share their traditional knowledge.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors, and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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