INTRODUCTION

Since ancient times, people have collected medicinal plants to treat various ailments (Pei, Alan, & Wang, 2020). Traditional knowledge developed over time is influenced by elements of ancestral heritage, intercultural links and interaction with the natural environment (Saslis-Lagoudakis et al., 2014). The use of plant species to treat diseases stems from ancient knowledge, originating from different generations, which incorporates new uses and practices over the years. It is worth noting that some traditional communities have a vast ethnobotanical field, using plants as raw materials to treat many diseases, in a safe and sustainable way, in balance with environmental conservation (Modro, Meneguelli, Ribeiro, Maia, & Lima-Júrnior, 2015).

It is estimated that around 80% of the human population and 90% of livestock depend on traditional medicine, most of which comes from plants (Aragaw, Afework, & Getahun, 2020; Mengistu, Kebede, Atomsa, Abebe, & Alemnie, 2019), due to the inadequacy or absence of modern health services (WHO, 2002).

Indigenous knowledge of medicinal plants has been passed down from generation to generation through oral conversation (Shinwari & Gilani, 2003). This oral conversation promotes the transmission of indigenous knowledge about medicinal plants, but it also deteriorates over time as it is passed from one person to another (Balick & Cox, 1996). Through ethnobotanical surveys, the indigenous knowledge of medicinal plants is compiled and documented to describe the plants that can be a source of medicines to cure diseases (Sarwat & Ahmad, 2012). A number of ethnobotanical and ethnomedicinal studies have been carried out in the province of Uíge, including those by (Jendras, Monizi, Neinhuis, & Lautenschläger, 2020; Lautenschläger, Mandombe, Mawunu, & Neinhuis, 2020; Lautenschläger, Monizi, Pedro, & Mandombe, 2018; Mawunu et al., 2022; Mawunu et al., 2022; Mawunu et al., 2023; Mawunu et al., 2023). Despite the accumulation of rich popular ethnomedicinal knowledge gained through practice and experience in their long struggle with disease, there have never been ethnobotanical studies to document it. Also, traditional medicinal knowledge is under threat due to the lack of written records. It is therefore imperative to document medicinal plants and the indigenous knowledge associated with them in order to safeguard this rich cultural heritage.

Herbal medicine is an important age-old tradition in Angola and forms part of the socio-cultural heritage of both the rural and urban population. It is passed down orally from one generation to the next. Moreover, information on the use of medicinal plants in the treatment of human illnesses in Kimalalu is scarce. The principal aim of this study is therefore to document ethnobotanical knowledge of the medicinal plants used by the inhabitants of Kimalalu (Angola), whose flora is renowned for its biological richness, and to highlight the relevance of ethnobotanical findings for a more rational use of plants and for the creation of a traditional Angolan pharmacopoeia.

The specific objectives of this study were: (1) to typify the sociodemographic profile of the informants; (2) to list the plant species and plant organs used by the Kimalalu community; (3) to highlight the diversity of uses; and finally (4) characterize the traditional usages of medicinal plants: modes of preparation and administration and diseases treated.

Methods and materials

Study area

Kimalalu is a rural area forming part of the municipality of Songo in the province of Uíge, in the north of Angola (Figure 1) and is located between 7°,489012 South latitude and between 14°,920251 East longitude.

Figure 1

Location map ofUíge province (northern Angola), with the municipality of Songo in purple, while the black dot indicates Kimalalu, which is the study area.

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The inhabitants of Kimalalu are largely of Bantu origin and belong to the Bakongo ethnolinguistic group. Kikongo and Portuguese are the most widely spoken languages in the region. Subsistence bush farming is the community's main source of income, food and employment. The predominant climate in Kimalalu is humid subtropical, with a long, well-defined rainy season from September or October to May. The months of April and November are characterised by heavier rainfall, with annual rainfall of between 1,300 and 1,600 mm/year, with an annual average of 1,450 mm. Clearly, there is much less rainfall in the dry season than in the wet season. High levels of relative humidity fluctuate around 95%, and the average annual temperature varies between 20 and 22°C (Diniz, 2006; Monizi et al., 2018; Monizi, André, Luyeye, Ngbolua, & Ndiku, 2019).

Material

In the current research, all the plants documented constitute our biological material. These are plant parts (roots, stems, leaves, inflorescences, stem barks, seeds, fruits, root barks) or the whole plant used to treat human diseases.

Methods

Socio-demographic and ethnobotanical surveys

The survey was conducted between May and August 2022. A total of 250 randomly selected informants were interviewed, including 152 female (62.02%) and 98 (37.98%) men, all residents of the study area, and at least 18 years of age. The informants were chosen at random, in order to give everyone the same chance, without favouritism. The interviews were oral, but there were also written forms. These informants were approached using semi-structured interviews that were conducted in the Portuguese language. Semi-structured interviews and direct field observations were used to collect ethnobotanical data (Lautenschläger et al., 2018; Mawunu et al., 2022; Mawunu et al., 2023; Mawunu et al., 2023), and based on the open-ended interview guide, which avoids influencing the informant's response (Martin, 2004).

Questionnaire

The questionnaire was divided into two sections: (1) attributes of the personal informant (including, gender, age, education level, and source of income); and (2) ethnomedicines data (including, local names of medicinal plants, habitat, life forms, and the status of medicinal plants used, plant organs used, ailments treated, and in each case the methods of preparation and administration were also recorded (Mawunu et al., 2022). During the fieldwork, plant samples were collected, and photographs were taken for later identification. The individual anthropological interviews were conducted in the local languages Kikongo and Portuguese, the languages spoken by the informants. It should be noted that some of the informants interviewed spoke all three languages, while others spoke only one. For this reason, during the interview, the informant was questioned in the language he or she spoke best. Besides, the selection criteria of the surveyed people were based on the age of informants (aged 18 years old and over) who had knowledge of the utilization of medicinal plants under investigation anwd uses of those plants in the management of human diseases, and who were available at the time of the survey. At last, direct observations and the semi-structured questionnaire were submitted orally to the different informants (18-80 years old).

Identification, classification and ecological characterization of the plants studied

Scientific names have been updated in accordance with the Plants of the World Online database (POWO, 2023). This database originates from the Royal Botanic Gardens (Kew) and all taxonomic data incorporated reflect the latest peer-reviewed studies on accepted scientific names and synonyms of plant families. In addition, the life forms of the species listed have been classified using Raunkiar's life form classification method (Raunkiaer, 1934). The inventoried plant species are classified into different morphological types based on the Raunkiaer system (Raunkiaer, 1934), as adopted by Lejoly, Lisowskis, and Ndjele (1988), and Pisco et al. (2024). These types include trees (over 15 m in height), shrubs (under 7 m), small shrubs (under 2 m), lianas (climbing plants), and annual herbs (plants whose aerial and underground parts die each year). Biological types are also classified using the Raunkiaer system, extended to tropical areas. These types are geophytes (plants with buds and young leaves in the soil), therophytes (plants that persist as seeds during unfavorable seasons), caephytes (plants with small vegetative devices and persistent leaves), and phanerophytes (plants with aerial sleeping buds over 50 cm above the soil). Phanerophytes include mesophanerophytes (10-30 m tall), microphanerophytes (2-10 m tall), nanophanerophytes (0.4-2 m tall), and lynephanerophytes (woody, climbing plants). The biotope types are determined from existing floras and include primary forests, secondary forests, savannahs, ruderal areas, and cultivated species. The phytogeographical distribution is determined using the classification of (Mawunu et al., 2024) , based on criteria such as widely distributed species (e.g., cosmopolitan, pantropical, afro-neotropical, palaeotropical), widely distributed African species (e.g., Afro-tropical continental, Afro-Malagasy), and regional species (e.g., Sudanese, Guinean-Congolese, Zambezi).

Data processing and analysis

Data processing and analysis uses Microsoft Excel 2010, IBM SPSS Statistics 20 and Origin. Briefly, the data collected was first in put into Microsoft Excel and analysed using IBM SPSS statistics. A single-variable analysis of categorical variables (socio-demographic and ethnobotanical variables) was conducted to obtain descriptive statistics including relative frequencies. The Kolmogorov-Smirnov test is used to verify the normal distribution of quantitative variables. Multivariate analysis, in particular multi-correspondence analysis, is carried out to investigate the relationship between dependente variables (ethnological parameters) and independent variables (socio-demographic parameters). Additionally, it should be noted that the Kolmogorov-Smirnov test was used to validate the hypotheses concerning the distribution of data on the age of the respondents, while Multivariate analysis was used to analyse and visualise the relationships between qualitative variables, thus enriching the analysis of ethnobotanical practices and knowledge.

Three types of frequencies were determined in order to provide analytical support for the taxa inventoried during the survey work: Relative frequency of Citation (RFC), citation index (CI), and medicinal capability index (MCI):

(1) Relative frequency of Citation (RFC), this index presents the number of informants who mention the use of the species (FC) in the number of informants participating in the survey (N) (Shuaib et al., 2021), and the Relative frequency of citation (RFC) index shows the local importance of each species;

The following Formula 2 calculates the index: RFC= FC/ N. The RFC index varies from 0 to 1. An RFC index of 0, means that nobody refers to the plant as useful, but an RFC index 1 indicates that all informants in the survey agreed that this plant is useful. FC: Citation frequency is the number of informants who mentioned a particular species and N: Total number of informants. As well, the relative frequency of citation index in percentage (FRC%) was calculated as follows number of reports of use (number of times a particular species was mentioned) / (Total number of times all species were mentioned) × 100 (FRC%) and was used as a quantitative index. Moreover, in ethnobotanical study, RFC indicates the native significance of plants species present within a region (Umair, Altaf, & Abbasi, 2017) .

(2) Confirmation Index or Informant Consensus (CI or ICs), IC = NP/NT. In this formula, NP is the number of informants who cited a species; while NT is the total number of informants. The ICs varies between [0 - 1]. A low value, close to 0, indicates that the informants disagree on the proposed uses. When this value is close to 1, it indicates high agreement around the use of the plant. ICs: the Informant consensus of use (ICs) was calculated to assess the agreements of informants on the use of plants for therapeutic uses (Byg & Balslev, 2001). Besides, this index makes it possible to evaluate the local cultural importance of a medicinal plant cited by different surveys in a given territory. For example, in this study the CI allows us to determine the number of times a plant has been cited in the management of hemorrhoids in the region, and consequently to identify the level of consensus within the population on the curative use of a given species in the management of hemorrhoids.

(3) The medicinal capability índex (MCI), was calcuted by the formula MCI= Number of taxa cited to manage a give pathology/Total number of taxa inventoried during the study. Besides, the MCI enables us to measure the potential of a given community to manage a well-dened pathology (Valentin et al., 2024).

RESULTS AND DISCUSSION

Data on socio-demographic characteristics of respondentes

A total of 250 informants from the Kimalalu agreed to take part in the study, including 152 women (62.02%) and 98 men (37.98%). The distribution of informants by age, sex, experience of phytomedicine use, sources of income and level of education is shown in Table 1.

Table 1

Socio-demographic characteristics of informants in the study area.

Variables

Percentage

Sex

Female

62.02

Male

37.98

Education level

Illiterate

16.4

Adult

4.9

Primary

25.3

Secundary

18.1

University

4.5

Age group

≤45

37.2

[46-64]

34.5

≥ 65

28.3

Occupation

Agriculture

67.4

Liberal jobs

15.7

Civil service

8.0

Pupil and student

1.5

Trading

7.4

Experience on used phytoterapy

≤ 5

18.46

[6-10]

17.23

>10

64.31

A total of 250 informants were randomly interviewed in the Kimalalu groupement (Table 1). However, 198 women (62.02%) were predominantly female, compared with 98 men (37.98%) (Table 1). Farming (67.4%) is the main source of food, employment and income for the respondents. Similarly, phytomedicine is used by all age groups, with 45% of respondents aged ≤ 45, followed by those aged [46-64], and ≥ 65 with a percentage of 34.5%, and 28.3% respectively (Table 1). Also, most of the informants were married (48.7%) and young (37.2%), with an average age of 43.86 years. The descriptive statistics indicate that the mean age of the participants is 49.75 years with a standard error of 0.977. The 95% confidence interval for the mean is between 47.83 and 51.68 years. The 5% trimmed mean is 49.90 years, and the median is 50.50 years. The variance is 307.282 and the standard deviation is 17.529. Ages range from 16 to 86 years, with a range of 70 years and an interquartile range of 31 years. The skewness is -0.199 with a standard error of 0.136, and the kurtosis is -1.013 with a standard error of 0.271. The normality tests show that the age of the participants does not follow a normal distribution. The Kolmogorov-Smirnov test has a statistic of 0.090 with a degree of freedom (df) of 322 and a significance of 0.000. Similarly, the Shapiro-Wilk test has a statistic of 0.961 with a df of 322 and a significance of 0.000. These results, with significance values less than 0.05, indicate that the age distribution significantly deviates from normality.

Additionally, the results of the ethnobotanical survey revealed that the main part of informants (64.31%) had more than ten years' experience of using medicinal plants. The descriptive statistics for years of experience show a mean of 17.91 years, with a 95% confidence interval ranging from 16.55 to 19.26 years. The 5% trimmed mean is 17.25 years, while the median is 16 years, indicating that half of the individuals have less than 16 years of experience and the other half have more. The variance is 152.128 and the standard deviation is 12.334 years, reflecting a significant dispersion of values around the mean. The years of experience range from 1 to 50 years, with a range of 49 years and an interquartile range of 18 years. The skewness of 0.622 indicates a slight rightward tendency of the values, while the kurtosis of -0.533 suggests a slightly flattened distribution compared to a normal distribution. The normality tests for years of experience show significant results for the Kolmogorov-Smirnov test (statistic = 0.125, df = 322, significance = 0.000) and the Shapiro-Wilk test (statistic = 0.934, df = 322, significance = 0.000), indicating that the distribution of years of experience deviates significantly from normality. Experience accumulated with age is the primary source of local information on the use of medicinal plants, particularly among women.

Besides, women are important sources of traditional knowledge because they are well informed about the value of plants, particularly local medicinal and food plants, due to their role in Bakongo families as the people responsible for the family's health and diet. Besides, women are more involved in the maternal and family health system (Abba & Dogara, 2021; Abouri et al., 2012; Monizi et al., 2019). In agreement with Monizi et al. (2019) in Angola,Voeks (2007) andVasconcelos, Fernandes, and Aguiar (2001) in Brazil, the predominance of women is justified by the fact that women know more medicinal plants than men and that in various societies, women have been given responsibility for domestic chores, raising children and primary care in their households. Ultimatily,Olanipekun (2023) in Nigeria, women are closer to the well-being of family members than men.Schunko, Grasser, and Vogl (2016) in Austria, women were more familiar with medicinal plants because they were responsible for food and medicine.

Furthermore, the high number of female respondents may be linked to their availability during the survey. It should be noted that this gender imbalance could be due to men's reticence towards researchers, even if they have proven knowledge of medicinal plants.

It should be noted that in the study area, married people tended to use traditional medicine, particularly medicinal plants, for their health care in order to minimise the expansive costs required by modern medicine. Finally, according to the level of education of the informants, 16.4% were illiterate. People with primary and secondary education had a significant percentage of use (25.3% and 18.1%, respectively). These results are similar to those of other studies such asBarkaoui et al. (2022) and Ouhaddou, Boubaker, Msanda, and Mousadik (2015).

Data on medicinal floral diversity studied

The floral diversity of medicinal plants belonging to different families, local names, parts used, voucher numbers, ailments, remedies and methods of administration are shown in Table 2. Overall, 72 taxa belonging to 68 genera and 35 botanical families were explored on the study site. All species were identified and their ethnobotanical information interpreted (Table 2). All the taxa documented are listed in alphabetical order, with vernacular names (if known to the local people), life forms, ecological characteristics, nativity status, parts used, preparation methods, and ethnobotanical methods of use reported by the informants are presented in Table 2. Among the plant taxa reported, the Fabaceae (Leguminosae) occupy first place with 8 species (11.3%), followed by the Asteraceae/Compositae (5 species, i.e. 7.0%), Rubiaceae (5 species, i.e. 7.0%), Anacardiaceae (4 species, i.e. 5.6%), Euphorbiaceae (4 species, i.e. 5.6%), Lamiaceae, Malvaceae, Poaceae and Solanaceae with 3 species each, i.e. 4.2%. Also, seven botanical families documented in this study are composed of only two (2.8%) species each: Acanthaceae, Apocynaceae, Cucurbitaceae, Moraceae, Myrtaceae, Solanaceae and Urticaceae. In addition, each of the nineteen (19) botanical families has only one species (1.4%), namely Amaranthaceae, Amaryllidaceae, Apiaceae, Asphodelaceae, Burseraceae, Caricaceae, Clusiaceae, Combretaceae, Convovulaceae, Costaceae, Crussulaceae, Hypericaceae, Lauraceae, Meliaceae, Ochnaceae, Phyllanthaceae, Polygalaceae, Rutaceae, and Zingiberaceae. In terms of generic richness, the richest families are the Fabaceae with 8 genera, followed by the Asteraceae (5 genera), Anacardiaceae (4 genera), Rubiaceae (4 genera), Lamiaceae (3 genera), Malvaceae (3 genera), Solanaceae (3 genera) and Poaceae with 2 genera. The other 27 botanical families listed have only one genus per family. Ultimately, the genera with the largest number of species represented in the present study are Annona (4 species) and Cymbopogon (2 species). The higher number of species represented in the Fabaceae family could be attributed to the species diversity, wider distribution, abundance of this family and associated knowledge of the Kimalalu flora and/or richness in medicinally active constituents. In agreement with Wyk (2020), the traditional African medicinal flora is dominated by the Fabaceae. The other dominant botanical families are Rubiaceae, Asteraceae, Malvaceae, Euphorbiaceae, Apocynaceae, Lamiaceae and Acanthaceae. The predominance of taxa from the Fabaceae family also corroborates the work ofRibeiro, Romeiras, Tavares, and Faria (2010) in Mozambique, Mawunu et al. (2022b), Jandras et al. (2020) andLautenschläger et al. (2018) in Angola,Djoza et al. (2021) in the Democratic Republic of Congo (DRC), Teshome et al. (2023)Teshome, Kebede, and Yohannes (2023) in Ethiopia andTodou, Yves, Tchobsala, and Adamou (2023) in Cameroon.The medicinal use of the taxa in this family is probably explained by the bioactive elements they contain, in particular tannins, alkaloids, coumarins, steroids, saponosides, phenolic acids, lectins, carotenoids, flavonoids and isoflavonoids (Mekkiou, 2005; Usman et al., 2022).

Life forms, status of origin and habitats of the plants studied

Figure 2 shows the morphological shape of plants documented in the Kimalalu.

Figure 2

Growth forms of the plants studied (%).

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The study showed that the most frequently cited life form was shrubs with 22 species (30.99%), followed by trees (16 species, i.e. 22.54%), sub-shrubs (15 species, i.e. 21.13%) and herbs with 12 species (16.90%), including 7 species of perennial herbs (9.86%), 5 species of annual plants (7.04%) and 6 species of lianas with 8.45% (Figure 2). Shrubs are the most commonly used plant species in the study area. This could be due to their abundance and accessibility in the region and the abundance of associated knowledge within the community. This study relates wiith Mawunu et al. (2022), where dominance of shrubs in the medicinal flora of the Songo, Angola.

Table 2

List of medicinal plant species cited, parts used, methods of preparation and administration, symptoms and diseases treated and other details.

Plant species

Vernaculares Name

BT

PD

Leaf size types

Diaspores types

Growth lifes

Parts used

Ailments and symptoms

Preparation modes

Administration modes

Acanthaceae

Brillantaisia owariensis P.Beauv.

Malemba lemba (Kik.)

Chd

GC

Meso

Ballo

Subshrub

Leaf

Measles, headache

Grinding

Dermal, bind on head

Dianthera secunda (Lam.) Griseb.

Makaya ma menga (Kik.), folha de Jeova (Port.)

Chd

GC

Meso

Ballo

Subshrub

Leaf

Anemia

Decoction

Oral intake, dermal

Amaranthaceae

Dysphania ambrosioides (L.) Mosyakin & Clemants

Kinsidi nsimba (Kik.), Santa Maria (Port.)

Thd

Cosm

Nano

Sclero

Perennial herb

Leaf, whole plant

Fever, malaria, bronquitis, cold

Decoction

Bath, stem bath, inhilation, enema

Amaryllidaceae

Allium sativum L.

Alho (Kik.)

Gb

Pan

Micro

Sclero

Annual herb

Bulb

Typhoid, Tuberculosis

Maceration, decoction

Oral intake

Anacariaceae

Anacardium occidentale L.

Nkaziwa (Kik.), Cajueiro (Port.)

MsPh

Pan

Meso

Sarco

Tree

Leaf, stem, stem bark

Diabetes, toothache

Maceration

Oral intake, mouth wash

Mangifera indica L.

Manga (Kik), Mangueira (Port.)

MsPh

Pan

Meso

Sarco

Tree

Stem bark

Diarrhoea, Mastitis, breast milk infection

Maceration

Oral intake

Pistacia terebinthus L.

Terebintina (Port.)

McPh

Pal

Micro

Sarco

Shrub

Fruit, root

Typhoid, belly ache

Grinding, Maceration

Enema, oral intae

Spondias mombin L.

Mungiengie (Kik), Gajageira (Port.)

MsPh

Pan

Meso

Sarco

Tree

Leaf

Asthma, lordosis, bronchitis, mastitis, breast milk infection

Decoction, grinding

Oral intake

Annonaceae

Annona stenophylla subsp. cuneata (Oliv.) N.Robson

Lolua lolua, lololkiambulu (Kik.)

NPh

AT

Meso

Sarco

Subshrub

Leaf

Anemia/low haemoglobin, cold, fatigue

Maceration

Oral intake

Annona senegalensis Pers.

Lomboloka (Kik.)

NPh

AT

Meso

Sarco

Subshrub

Leaf

Anemia, diarrhea, fatigue

Decoction

Oral intake

Annona muricata L.

Sapi sapi (Port.)

McPh

Pan

Meso

Sarco

Shrub

Leaf, fruit

Stomachache, yellow fever

Decoction

Oral intake

Apiaceae

Steganotaenia araliacea Hochst

Nkula mvumbi, munkula mvumbi (Kik.)

McPh

AT

Meso

Ptero

Shrub

Leaf

Back ache, stomachache, body pain, cold

Decoction, Maceration

Oral intake, bath

Apocynaceae

Catharanthus roseus (L.) G. Don

Beija mulato (Port.)

Nph

Pan

Micro

Sarco

Subshrub

Leaf

Diabetes, Amoeba

Decoction, Maceration

Oral intake

Mondia whitei (Hook.f.) Skeels

Nlondo londo, Kimbiolongua (Kik.)

LPh

GC

Macro

Ballo

Climbing

Root

Impotence

Chewing

Eating, oral intake

Asphodelaceae

Aloe buettneri A.Berger

Ba dia nseke, aloe (Kik.)

Grh

GCSZ

Meso

Sarco

Perennial herb

Leaf

Snakebite, lordosis, Hepatomegaly

Grinding, decoction

Dermal, enema

Asteraceae

Aspilia kotschyi (Sch.Bip. ex Hochst.) Oliv.

Lubini lua mbua (Kik.

Thd

AT

Nano

Pogo

Annual herb

Leaf, inflorescence, stem

Cough, fever, fatigue

Grinding

Wound drops

Chromolaena odorata (L.) R.M.King & H. Rob

Kongo ya sika (Ling.)

Chd

Pan

Meso

Pogo

Perennial herb

Leaf

Wounds

Maceration

Oral intake

Gymnanthemum amygdalinum (Delile) Sch.Bip.

Malulu, malulua, nlulu (Kik.)

Grh

AT

Meso

Pogo

Tree

Leaf

Skin infections, Abdominal bloating, Belly ache

Decoction

Oral intake

Helichrysum mechowianum Klatt

Lumpakuludi (Kik.)

Thd

AT

Micro

Pogo

Perennial herb

Leaf

Anemia

Grinding, maceration

Dermal, enema

Pleiotaxis rugosa O.Hoffm.

Ntelema katesa, Telema katesi (Kik.)

Chd

GC-Z

Micro

Sclero

Subshrub

Leaf, inflorescence, stem

Anemia, diarrhea, diabetes, typhoid

Maceration

Oral intake

Burseraceae

Pachylobus edulis G.Don

Nsafu (Kik.), Safueiro (Port.)

MsPh

BGC

Meso

Sarco

Tree

Leaf, stem bark

Canididiasis, toothache

Decoction

Dermal, Mouth Wash, oral intake

Caricaceae

Carica papaya L.

Mamoeiro (Port.), Kikila (Kik.)

MsPh

Pan

Marco

Sarco

Tree

Fruit, root

Belly bloating, toothache, abdominal bloating

Chewing, docoction, chewing

Eating, mouth wash

Clusiaceae

Garcinia kola Heckel

Ngadiadia (Kik.)

MsPh

GC

Meso

Sarco

Tree

Seeds

Typhoid

Maceration, chewing

Oral intake, eating

Combretaceae

Combretum racemosum P. Beauv.

Mussubiala, Nsumbi (Kik.)

LPh

GC

Micro

Ptero

Liana

Leaf

Diarrhoea

Grinding

Oral intak

Convolvulaceae

Ipomoea batatas L.

Ramas de batata (Port.), Mbala nzenzo (Kik.)

Gt

Pan

Meso

Sarco

Creeping

Leaf

Anemia

Cooking

Eating

Costaceae

Costus afer Ker Gawl.

Nsangalavu (Kik.)

Grh

AT

Meso

Sarco

Perennial herb

Culm, leaf

Hypertension, lordosis

Chewing, maceration

Oral intake

Crussulaceae

Kalanchoe crenata  (Andrews) Haw.

Luyuki yuki (Kik.)

Nph

AT

Meso

Sclero

Subarbusto

Leaf

Earache

Heating

Ear Drops

Cucurbitaceae

Momordica balsamina L.

Lumbuzu, mambuzu (Kik.)

Thgr

Pan

Micro

Sarco

Climbing

Leaf

Hernia, cryptorchidism

Maceration, roast

Dermal, oral intake

Cucurbita pepo L.

Malengue (Kik.), abobora (Port.)

Thgr

Pan

Meso

Sarco

Creeping

Fruit pulp, seed

Stomachache

Decoction

Eating

Euphorbiaceae

Alchornea cordifolia (Schumach. & Thonn.) Müll.Arg.

Gunze, muwunze, wunze (Kik.)

McPh

AT

Meso

Sarco

Shrub

Leaf

Vaginal canal dilatation

Maceration

Vaginal bath

Jatropha curcas L.

Mpuluka (Kik.)

MsPh

Pan

Meso

Ballo

Shrub,

Leaf, sap

Lordosis, ringworm, toothache

Decoction

Eye Drops

Manihot esculenta Crantz

Madioko (Kik.), Mandioqueira (Port.)

McPh

Pan

Meso

Ballo

Shrub

Tuber, leaf

Eye inflammation, eye parasites

Pressing

Oral intake, dermal, mouth wash

Maprounea africana Müll.Arg.

Nsiele nsiele (Kik.)

MsPh

AT

Micro

Ballo

Shrub

Root, stem bark

Chronic wounds, stomachache, toothache

Grinding, decoction, maceration

Apply to wound, eating, oral intake

Fabaceae

Cajunus cajan L.

Wandu (Kik.)

Nph

Pal

Micro

Ballo

Shrub

Leaf

Vertigo, eye worms

Maceration, pressing

Face wath, eye drops

Dichrostachys cinerea subsp. Africana Brenan & Brummitt

Mvanga, nsende za mvanga (Kik.)

McPh

Pal

Lepto

Ballo

Shrub

Root

Inflammation

Grinding

Dermal

Entada abyssinica Steud. ex A.Rich.

Nsofi, Lusofi (Kik.)

McPh

AT

Micro

Ballo

Shrub

Root, leaf, stem, stem bark

Yellow fever, toothache, inflammation, grinding

Decoction

Dermal, oral intake, mouth wash

Erythrina abyssinica DC.

Mungominina, mungoma ngoma (Kik.)

MsPh

GC

Meso

Ballo

Shrub

Stem bark

Fatigue, yellow fever, typhoid, back pain, anemia

Decoction, maceration

Oral intake

Indigofera paracapitata J.B.Gillett

Mbaya ya londe,Diamba dia nseke (Kik.)

Thd

GC

Nano

Pogo

Subshrub

Leaf, inflorescences

Anemia, fatigue

Decoction, maceration

Oral intake

Millettia versicolor Welw. ex Baker

Mbota (Kik), Pau ferro (Port.)

MsPh

BGC

Meso

Ballo

Shrub

Leaf, stem bark

Hernia, inflammation, body ache

Decoction, peeling

Dermal, oral intake, tie

Senna occidentalis (L.) Link

Manioka nioka, Dinioka nioka (Kik.)

Nph

Pan

Micro

Ballo

Subshrub

Leaf, root

Diarrhea, blood diarrhoea, belly ache, diabetes, typhoid

Decoction, grinding, maceration

Oral intake, enema

Vigna unguiculata L.

Mbuengue (Kik.)

Thgr

Pan

Meso

Ballo

Creeping

Leaf

Abdominal varices

Grinding

Dermal

Hypericaceae

Harungana madagascariensis Lam: Ex Poir

Ntunu, muntunu (Kik.)

MsPh

AM

Meso

Sarco

Tree

Stem bark

Hepatitis, yellow fever

Decoction

Oral intak

Lamiaceae

Ocimum gratissimum L.

Mansusu nsusu, dinsu nsu (Kik.)

Chd

Pal

Meso

Sclero

Shrub

Leaf

Cough, asthma, lordosis, eaeache

Pressing, decoction, maceration, grinding

Oral intake, steam bath, eye drops, dermal

Mesosphaerum suaveolens (L.) Kuntze

Nkama nsongo (Kik.)

Thd

AA

Micro

Desm

Subshrub

Leaf, inflorescence, stem

Cough, fever, cold, malaria

Maceration

Eating, oral intake

Vitex madiensis Oliv.

Mfilu, mufilu (Kik.)

Nph

AT

Nano

Sarco

Shrub

Leaf, stem bark

Diarrhoea, candidiasis, anemia, fatigue, low haemoglobin

Chewing, docoction, maceration

Steam bath, inhalation

Lauraceae

Persea americana Mill.

Abacateiro (Port.), Mvoka (kik.)

MsPh

Pan

Meso

Sarco

Tree

Leaf, seed

Hypertension, Anemia, Low haemoglobin, Stomachache, Measles

Decoction, Grinding

Oral intake, dermal

Malvaceae

Gossypium barbadense L.

Algodão (Port.), Mavusu (Kik.)

McPh

Pan

Nano

Pogo

Shrub

Leaf

Candidiasis, vomiting

Decoction, Grinding

Oral intake

Hibiscus acetosella Welw. ex Hiern

Ngai ngai Ling.), Usse (Port.)

Nph

Pal

Meso

Desm

Subshrub

Leaf

Low haemoglobin/anemia

Grinding

Dermal

Sida acuta Burm.f.

Mimvumvu. Mumvumvu (Kik.)

Nph

Pan

Micro

Ballo

Subshrub

Leaf

Panaris, headache

Cooking

Eating

Meliaceae

Azadirachta indica A. Juss

Cura tudo (Port.)

MsPh

Pan

Micro

Sarco

Tree

Leaf

Malaria, cold, fever

Decoction

Enema

Moraceae

Dorstenia psilurus Welw.

Mikombo, Kintamba (Kik.)

Chrh

GC

Meso

Ballo

Subshrub

Root

Belly ache

Decoction, grinding, maceration

Enema

Ficus sycomorus L.

Nkuzu, kienga (Kik.), Pau mulado (Port.)

MsPh

GS-Z

Meso

Sarco

Tree

Leaf

Anemia/low haemoglobin

Decoction

Oral intake

Myrtaceae

Corymbia citriodora (Hook.) K.D.Hill & L.A.S.Johnson

Eucalipto (Port.)

MsPh

Pan

Meso

Sarco

Tree

Leaf

Cough, asthma

Decoction

Oral intake

Psidium guajava L.

Ngavua, mfuluta (Kik.)

MsPh

Pan

Meso

Baro

Shrub

Leaf

Diarrhoea

Chewing

Mouth Wash

Ochnaceae

Ochna afzelii subsp. Mechowiana (O.Hoffm.) N. Robson

Nkosi nti, Ngo nti (Kik.)

MsPh

GC

Meso

Ballo

Tree

Stem bark

Anemia

Decoction

Oral intake

Phyllanthaceae

Bridelia ferruginea Benth.

Mwindu, nkangati (Kik.)

McPh

Pan

Meso

Sarco

Tree

Stem bark

Eye pain, chronic wounds

Grinding

Apply to wound, Eye Drops

Poaceae

Cymbopogon citratus stapt

Sinde dia mputu (Kik.), Chá cachinda (Port.)

Hce

Pan

Micro

Scl

Perennial herb

Leaf

Yellow fever

Decoction

Oral intake

Cymbopogon densiflorus (Steud.) Stapf

Sangu sangu, Lusangu sangu (Kik.)

Hce

GC

Micro

Sclero

Perennial herb

Leaf, inflorescence

Cough, fever, asthma

Maceration

Oral intake

Saccharum officinarum L.

Mukuku, Muinse (Kik.), Cana de açúcar (Port.)

Hce

Pan

Meso

Sclero

Perennial herb

Culm

Yellow fever, body weakness, vomiting

Chewing, decoction

Oral intake, dermal

Polygalaceae

Securidaca longepedunculata Fresen.

Nsunda, usunda, nsunda nsunda (Kik.)

McPh

AT

Micro

Ptero

Shrub

Root

Inflammation, body ache, cold, constipation, lordosis, Gonorrhoea, thrombosis

Grinding, maceration

Dermal, enema, inhalation, oral intake

Rubiaceae

Crossopteryx febrifuga  (Afzel. ex G.Don) Benth

Mvala (Kik)

McPh

AT

Micro

Sarco

Shrub

Root

Toothache

Decoction

Mouth Wash, oral intake

Gardenia ternifolia subsp. jovis-tonantis (Welw.) Verdc.

Nlemba nzau (Kik.)

McPh

AT

Meso

Sarco

Shrub

Root, fruit

Inflammation, belly ache, diarhoea, toothahe

Grinding, decoction

Dermal, mouth wash, oral intake

Morinda lucida Benth

Nsiki, musiki (Kik.)

MsPh

GC

Meso

Sarco

Shrub

Leaf

Belly ache, diarrhoea

Decoction

Oral intake

Nauclea latifolia Sm.

Lolo, Nlolo (Kik.)

McPh

AT

Meso

Sarco

Shrub

Root, stem bark

Impotence, hernia, typhoid, anemia

Chewing

Eating, oral intake, dermal

Nauclea pobeguinii  (Hua ex Pobég.) Merr.

Nganzi, Muzelenga, Nzelenge (Kik.)

MsPh

GC

Meso

Sarco

Tree

Stem bark, root bark

Bladder pain, diabetes, typhoid, malaria

Maceratio, decoction

Oral intake

Rutaceae

Citrus  sinensis (L.) Osbeck

Laranjeira (Port.)

MsPh

Pan

Micro

Sarco

Shrub

Root, leaf

Urinary tract infections, cough

Decoction

Oral intake,

Solaceae

Capsicum frutescens L.

Ndungu za fioti (Kik.)

Thd

Pan

Micro

Sarco

Subshrub

Leaf

Lordosis

Decoction

Oral intake

Nicotiana tabacum L.

Tumbaku, Mfomo (Kik.)

Thd

Pan

Macro

Sarco

Annual herb

Leaf

Hemorrhoid, Cryptorchidism

Heating, pressing

Nose drops, put on nose

Solanum lycopersicum L.

Tomateiro (Port) Lumatu (Kik)

Thpr

Pan

Micro

Sarco

Subshrub

Leaf

Headache

Roast

Dermal

Urticaceae

Laportea aestuans (L.) Chew

Vidi, mansiensie (Kik)

Thd

Pan

Meso

Sclero

Annual herb

Leaf

Anemia, asthma, cough

Decoction

Oral intake

Musanga cecropioides R.Br. ex Tedlie

Nsenga, nsega nsenga, Musenga (Kik.)

MsPh

GC

Macro

Sarco

Tree

Root

Dehydration, diarrhoea

Incision

Oral intake

Zingiberaceae

Aframomum melegueta K.Schum.

Ndungu za nzo (Kik.)

Grh

AM

Meso

Sarco

Annual herb

Seeds

Angina

Chewing

Oral intake

In contrast,Lautenschläger et al. (2018) in their first large-scale ethnobotanical study in the province of Uíge, northern Angola, reported that trees were in the majority compared to other life forms. Additionally, with regard to the status of origin of the medicinal plants recorded in this study, the majority were indigenous species (41 species, i.e. 57.75%) while the remainder (30 species, i.e. 40.25%) were of exotic or introduced (allochthonous) origin. Lastly, of all the medicinal plants (72 species) collected and identified in the study area, the majority (29.9%) came from allotments in the vicinity of dwellings. The other medicinal plant harvesting sites were savannah (21%), fallow land (18.6%), forest (16.8%) and cultivated fields (13.6%). (Mawunu et al., 2022) who studied the medicinal flora of the small town of Songo reported that the greater part (67.4%) of medicinal plants were of exotic origin. With regard to habitat,Lautenschläger et al. (2018) also reported that the majority of medicinal plants grew in savannahs and forests.

Parts of plants used in the preparation of phytoremedes

Figure 3 shows the different parts of plants used to treat human diseases in the study area.

Figure 3

Parts of medicinal plants used in the Kimalalu flora (%).

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Medicinal preparations were made from a single part of the plant or a combination of several plant parts. Figure 3 shows that the leaf was the part of the plant most commonly used to make phytomedicines in Kimalalu (53.05%), followed by roots and root bark (14.32%), inflorescences (7.43%), stem and stem bark (7.17%), seeds (2.65%), fruit and fruit pulp (3.45%), tubers (0.27%) and sap with 0.27% (Figure 3). The use of leaves as compared to roots is considered less destructive especially to trees and shrubs. It is important to note that, in some species, more than one part was used in the preparation of phytomedicines. Leaves were the dominant plant parts employed in remedy preparations for the treatment of human in the study area, which could be attributed to their perceived efficacy, accessibility, ease of harvesting, and simplicity of preparation. Our results are in line with the conclusions of similar studies carried out in Angola and elsewhere in the world (Abadi, Neinhuis, Safaeian, & Lautenschläger, 2023; Camacho-Hernández, Lagunez-Rivera, Aguilar-Contreras, & Gómez, 2022; Djoza et al., 2021; Lautenschläger et al., 2018; Liyongo et al., 2023; Mawunu et al., 2022; Mobale et al., 2023; Pisco et al., 2024) in which the most widely used part of the plant was also the leaves, used to treat various human ailments.

Also, the preference for leaves for medicinal production is a positive result for the conservation of plant resources. Collecting leaves in moderation neither harms nor affects the health, reproduction or development of the plant. This practice is linked to the abundance and convenience of using leaves compared to other parts of the plant, as well as to confidence in the effectiveness of its use (Santos, Amorozo, & Ming, 2008). Lastly, harvesting leaves has been reported to have much less damaging effects on the mother plant as compared to other parts such as roots and barks, the gathering of which could seriously affect the existence of individual plants (Teka, Asfaw, Demissew, & Damme, 2020).

Ecological characteristics of the flora studied

Biological types

Data on the biological types of the flowering plant studied are shown in Figure 4 .

Figure 4

Biological types of documented plants (%).

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The biological types show a predominance (Figure 4) of Phanerophytes with 45 species, i.e. 62.54% of the flora inventoried; followed by Therophytes with 12 species, i.e. 16.67%; Geophytes with 6 species, i.e. 8.34%; Chamaephytes with 6 species, i.e. 8.34% and Hemicryptophytes with 3 species, i.e. 4.17% of the flora studied. This predominance of Phanerophytes gives a forest-like appearance to the flora studied. Among the Phanerophytes, mesophanerophytes (MsPh) are the most preponderant with 21 species, i.e. 29.17% of the flora, followed by microphanerophytes (McPh) with 13 species, i.e. 18.06%; nanophanerophytes (NPh) with 9 species, i.e. 12.50%; and creeping phanerophytes (CPh) with 2 species, i.e. 2.78% of the flora. Cryptophytes include rhizomatous geophytes (Grh) with 4 species (5.56%) and tuberous geophytes (Gt) with 1 species (1.39%). Within the Therophytes, there are erect therophytes (The) with 8 species, i.e. 11.11%, climbing therophytes (Thc) with 3 species, i.e. 4.17% and prostrate therophytes (Thpr) with 1 species, i.e. 1.391%. In the Chamaephytes, we distinguish the erect chamaephytes (Che) with 5 species, i.e. 6.94% and the rhizomatous chamaephytes (Chrh) with 1 species, i.e. 1.39% of the flora studied. Lastly, there are the Hemicryptophytes (Hce), with only 3 species, or 4.17% of the flora inventoried. The abundance of phanerophytes proves the forested nature of the study site. The present results are in agreement with previous studies carried out in the same region by (Mawunu et al., 2023), who reported that the dominance of phanerophytes (52.2%) in the ethnobotanical survey of herbal teas consumed in the province of Uíge (Angola) reflects the state of vegetation in the tropics. These results corroborate those of research carried out on the flora of the Wamba valley in the DRC (Théophane et al., 2022).

Phytogeographical distribution of documented plants

Table 3 shows the phytogeographical distribution of the flora studied in the Kimalalu community in the Uíge province.

Table 3

Phytogeographical distribution of the flora studied

Phytogeographical distribution

Species number

Percent

I. Species with largest distribution

37

51.39

Afro-Americans (AA)

2

2.78

Cosmopolites (Cosm)

1

1.39

Paleotropical (Pal)

5

6.94

Pantropical (Pan)

29

40.28

II. African species with largest distribution

30

41.67

Afro-malagasy (AM)

2

2.78

Afro-tropical (AT)

15

20.83

Guineo-Congolese (GC)

13

18.06

Guineo-congolo-sudanese-zambezian (GCSZ)

1

1.39

Guinean-Congolian-Sudanese (GCS)

1

1.39

Guineo-Congolese-Zambezians (GCZ)

1

1.39

III. Guinean-Congolian regional species

2

2.78

Lower Guinean-Congolese (LGC)

2

2.78

General total

72

100

Table 3 shows that the proportion of species with a very wide distribution (51.39%) and African species with a wide distribution (41.67%) are the most important in the flora studied. The largest of the medicinal flora studied is made up of tropical species with 68.05% (Table 3), including 29 pantropical species representing 40.28% of the total and 15 Afro-tropical species, i.e. 20.83%. Paleotropical species followed (5/72, i.e. 6.94%), Lower-Guineo-Congolese (2/72, i.e. 2.78%), and Afro-Malagasy (2/72, i.e. 2.78%). Also, the Afro-American, Cosmopolitan, Guineo-Congolese-Zambezian, Guineo-Congolese-Sudanese and Guineo-Congolese-Sudanese-Zambezian species each have 1 species with 1.39% (1/72). The present results are in agreement with the previous study carried out in northern Angola by (Mawunu et al., 2023). These results corroborate research carried out in the DRC by Théophane et al. (2022), Masengo et al. (2024).

Types of foliar dimensions

The overall analysis of the types of leaf dimensions of all the species inventoried in the Kimalalu is illustrated in Figure 5.

Figure 5

Types of foliar dimensions of the flora studied (%).

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Figure 5 shows that mesophyll species are more numerous; they make up 41 species, or 56.94% of the total number of plants in the flowering bed. Microphylls accounted for 21 species (29.17%), nanophylls for 5 species (6.94%), macrophylls for 4 species (5.56%) and leptophylls for 1 species (1.39%). Similar results were also reported by Théophane et al. (2022), andPisco et al. (2024) in the DRC.

Types of diaspora

Analysis of diaspora types produced the results shown in Figure 6.

Figure 6

Types of diaspores in the flora studied (%).

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Analysis of the spectra of diaspores highlights the clear dominance (Figure 6) of Zoochores with 35 species, i.e. 48.61% of the florule inventoried. These types of diaspores are spread by animals (Zoochory). Anemochores followed with 19 species (26.39%); Autochores (Ballochores) with 17 species (23.61%); and Barochores (Baro) with 1 species (1.39%). Among the Zoochores, the Sarcochores (Sarco) are the most dominant with 33 species, i.e. 45.83% of the florule studied and 94.29% of all the Zoochores in the florule inventoried; then come the Desmochores (Desm) with 2 species, i.e. 2.78% of the florule inventoried and 5.71% of all the Zoochores in the florule studied. Among the Anemochores, we find Sclerochores with 10 species, i.e. 13.89% of the flora inventoried and 52.63% of all the Anemochores in the flora studied; Pterochores with 3 species, i.e. 4.17% of the florule inventoried and 15.79% of all the Anemochores and Pogonochores with 6 species, i.e. 8.33% and 31.58% of all the Anemochores in the florule inventoried. Similar results were reported byThéophane et al. (2022) in their study of the flora of the Wamba valley in the DRC.

Ethnomedicinal data on the flora plant studied

Solvents and methods used in the preparation of phytomedicaments

It should be noted that the informants used several solvents when preparing the phytomedicines, in particular water (96.6%), palm wine (2.4%) and honey (1.2%). Furthemore, some remedies were prepared without the additional solvents mentioned above.

Methods of preparing phytoremedias

Figure 7 shows the different methods of preparing phytoremedias used by the Kimalalu communities.

Figure 7

Preparation methods for medicinal plants used to treat human ailment (%).

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Various traditional methods of preparing phytomedicines were used in the study area (Figure 7). The preparation method most commonly used to treat human diseases was decoction (50.00%). The other preparation methods used to make phytomedicines were maceration (22.75%), grinding (12.57%), mastication (6.89%), cooking (2.78%), pressing (1.80%), root cutting (1.50%), roasting (2.10%), cooking (1.20%), heating (0.60%), peeling (0.30%) and incision (0.30%) (Figure 7). The common practice of decoction as a method of preparing medicinal plants can be explained by the fact that it is an easy way to collect the main medicinally active compounds (active ingredients) and to attenuate or eliminate toxic substances present in some medicinal plants (Lazli, Moncef, Ghouri, & Nouri, 2019). Also, Li et al. (2024), reported that decoction is generally considered the most common method of herbal medicine preparation because it can easily and effectively extract the active ingredients from the plant materials. Similar results have been reported by authors such asLautenschläger et al. (2018) and (Mawunu et al., 2022) in Angola, (Ngbolua et al., 2021) in DRC, andMoncayo and Diago (2022) in Colombia that decoction is the main preparation method in traditional therapeutic recipes. Furthermore, the study byCanga et al. (2022) showed that the use of maceration to prepare a remedy was the most frequently used preparation method.

Phytoremediation routes

With respect to the routes of remedy administration, the local community recommends different routes depending on the type of disease treated. Figure 8 shows the different methods of administration used by the Kimalalu communities.

Figure 8

Phytoremediation methods (%).

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There are different ways of administering the traditional medicinal products prepared by the local community of Kimalalu. Seventeen (17) methods of administering herbal treatments are used by the Kimalalu communities in northern Angola (Figure 8). The most frequently used route of administration is oral (56.21%), followed by cutaneous topical (12.13%), mouthwash (6.8%), enema (6.51%), inhalation (3.55%), eating (4.73%), bath (3.85%), steam bath (2.07%) and eyewash with 1.48% (Figure 8). Other methods of administering phytomedicines (tying on the head, ear drops, face wash, nasal drops, etc.) accounted for 2.66%. Oral was the most popular route of remedy administration which could be due to the reason that it creates favorable environmental condition for quick physiological reaction of the preparation against the pathogens and by so doing boosts its healing power. Oral administration has an additional advantage in that it allows the traditional medicine practitioners to reverse complication that might happen on the clients during treatment using antidotes. The results of this study are in agreement with other studies such as Mawunu et al. (2022); Pisco et al. (2024), and Lautenschläger et al. (2018) who reported that the oral route of administration (per os) is the most commonly used in Northern Angola.

The frequent use of oral absorption as a route of administration for medicinal plants may be related to the fact that it is rapid and provides a large effective surface area for absorption of the active drug components (Hillery, Lloyd, & Swarbrick, 2001). Oral administration has an additional advantage in that it allows the traditional medicine practitioners to reverse complication that might happen on the clients during treatment using antidotes. Once absorbed, the drug passes through the intestinal wall and liver before being transported to target sites via the bloodstream (Kwon, 2005).

Diseases and symptoms treated by phytotherapy

The study identified 59 human symptoms and illnesses treated with phytomedicines by the inhabitants of Kimalalu. Figure 9 shows the diseases and symptoms treated with medicinal plants, highlighting the sixteen main illnesses documented in the study area.

Figure 9

Main diseases and symptoms documented at Kimalalu (%).

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According to the data in Figure 9, the condition that most affected Kimalalu residents during the ethnobotanical surveys was low haemoglobin (12.53%) - commonly known as anaemia. This was followed by yellow fever (6.04%), abdominal pain (5.59%), toothache (5.37%), cough (4.70%), typhoid fever (4.25%), fever (4.25%), malaise (4, 25%) and diarrhoea (4.25%), malaria (3.36%), lordosis (2.91%), diabetes (2.91%), colds (2.91%), asthma (2.91%), inflammation (2.46%) and gastritis (2.24%). Studies by (Mawunu et al., 2022) reported that in the small town of Songo, medicinal plants were used more for the treatment of coughs, anaemia, malaria and diarrhoea. Besides,Canga et al. (2022) reported the dominance of infectious and parasitic diseases, notably malaria, leprosy and cholera. Further, (Pathy, NB, BK, W, & P, 2021) in the city of Mbanza Ngungu in the DRC reported that haemorrhoids, hernia and sexual impotence were the most prevalent diseases.

Relationships between botanical families and conditions treated

Table 4 shows the relationships between botanical families and the ailments treated with medicinal plants in Kimalalu.

The data in Table 4 show that medicinal plants in the Fabaceae family treat more (17) of the diseases and symptoms of all 35 botanical families documented in this study. Next come the Rubiaceae families with 13 ailments; Asteraceae (11 ailments); Lamiaceae (11 ailments); Anacardiaceae (9 ailments); Euphorbiaceae (9 ailments): Polygalaceae (8 ailments); Annonaceae (6 ailments); Amaranthaceae, Malvaceae, Myrtaceae, Poaceae, Solanaceae, and Urticaceae each treat 5 ailments; Apiaceae and Lauraceae treat 4 ailments; Acanthaceae, Apocynaceae, Asphodelaceae, Caricaceae, Clusiaceae, Cucurbitaceae, Hypericaceae and Meliaceae each treat three conditions; Amaryllidaceae, Moraceae and Phyllanthaceae each treat two conditions. As well, the botanical families that treat just one ailment are the Burseraceae, Combretaceae, Convolvulaceae, Crussulaceae and Zingiberaceae. In the same province, (Mawunu et al., 2022) reported that the Solanaceae family is the most used in traditional medicine in the small city of Songo with 15 different therapeutic uses, followed by Caricaceae (13 medicinal uses), Lamiaceae (12 medicinal uses), Asteraceae (12 medicinal uses), Anacardiaceae (11 medicinal uses), Poaceae (10 medicinal uses), Malvaceae (10 medicinal uses), Fabaceae (10 medicinal uses), Euphorbiaceae (10 medicinal uses), Lauraceae (7 medicinal uses), Annonaceae (7 medicinal uses), Acanthaceae (7 medicinal uses), Amaranthaceae (5 medicinal uses), Burseraceae (5 medicinal uses), and Rubiaceae (5 medicinal uses).

Relationships between human diseases and medicinal plants in Kimalalu

Table 5 shows the relationships between human diseases and the medicinal plants used by theKimalalu population.

Table 4

Relations entre familles botaniques et affections médicales.

Botanical family

Ailments and symptoms

Number of ailments

Acanthaceae

Headache, measles, low haemoglobin

3

Amaranthaceae

Fever, malaria, bronquitis, cold, belly ache

5

Amaryllidaceae

Tuberculosis, typhoid

2

Anacardiaceae

Mastitis, lordosis, bronchitis, asthm, belly ache, typoid, breast milk infection, diabetes, toothache

9

Annonaceae

Diarrhoea, cold, fatigue, low haemoglobin, stomachache, yellow fever

6

Apiaceae

Backache, body pain, cold, stomachache

4

Apocynaceae

Diabetes, amoeba, impotence

3

Asphodelaceae

Lordosis, snakebite, hepatomegaly

3

Asteraceae

Belly ache, skin infections, abdominal bloating, diarrhoea, typhoid, diabetes, low haemoglobin, cough, fever, fatigue, wounds

11

Burseraceae

Toothache

1

Caricaceae

Belly bloating, toothache, abdominal bloating

3

Clusiaceae

Typhoid, belly ache, stomachache

3

Combretaceae

Diarrhoea

1

Convolvulaceae

Anemia

1

Crussulaceae

Earache

1

Cucurbitaceae

Hernia, cryptorchidism, stomachache

3

Euphorbiaceae

Chronic wounds, stomachache, toothache, vaginal canal dilatation, eye inflammation, eye worms, lordosis, rigworm, toothache

9

Fabaceae

Belly ache, blood diarrhoea, diarrhoea, diabetes, typhoid, low haemoglobin, fatigue, hernia, inflammation, body ache, abdominal varices, yellow fever, back pain, vertigo, eye worms, kwashiorkor, toothache

17

Hypericaceae

Hepatitis, yellow fever

3

Lamiaceae

Cough, asthma, lordosis, earache, diarrhoea, candidiasis, low haemoglobin, fatigue, fever, cold, malaria

11

Lauraceae

Hypertension, measles, stomachache, low haemoglobin

4

Malvaceae

Candidiasis, vomiting, low haemoglobin, panaris, headache

5

Meliaceae

Malaria, cold, fever

3

Moraceae

Belly ache, low haemoglobin

2

Myrtaceae

Cough, asthma, diarrhoea, diabetes, typhoid

5

Ochnaceae

Low haemoglobin

1

Phyllanthaceae

Eye pain, chronic wounds

2

Poaceae

Asthma, bronchitis, yellow fever, body weakness, vominting

5

Polygalaceae

Body ache, bronchitis, cold, constipation, gonorrhoea, inflammation, lordosis, thrombosis

8

Rubiacece

Inflammation, typoid, malaria, bladder pain, diabetes, belly ache, diarrhoea, toothache, urinary tract infections, impotence, hernia, typhoid, low haemoglobin

13

Solanaceae

Headache, lordosis, hemorrhoid, cryptorchidism

5

Urticaceae

Low haemoglobin, asthma, cough, diarrhoea, dehydration

5

Zingiberaceae

Angina

1

Table 5

Main ailments treated with phytomedicines in Kimalalu.

Ailments

Medicinal plants used

Number of plants mentioned

Asthma

Corymbia citriodora

5

Cymbopogon densiflorus

Laportea aestuans

Ocimum gratissimum

Spondias mombin

Belly ache

Crossopteryx febrifuga 

10

Dorstenia psilurus 

Dysphania ambroisioides

Entada abyssinica

Garcinia kola

Gardenia ternifolia subsp. jovis-tonantis

Gymnanthemum amygdalinum

Morinda lucida

Pistacia terebinthus

Senna occidentalis

Cold

Annona stenophylla subsp. cuneata

6

Azadirachta indica

Dysphania ambroisioides

Mesosphaerum suaveolens

Securidaca longepeduncula

Steganotaenia araliacea

Cough

Aspilia kotschyi

5

Corymbia citriodora

Laportea aestuans

Ocimum gratissimum

Mesosphaerum suaveolens

Diabetes

Anacardium occidentale

6

Catharanthus roseus

Nauclea pobeguinii 

Pleiotaxis rugosa

Psidium guajava

Senna occidentalis

Annona senegalensis

Combretum racemosum

Gardenia ternifolia subsp. jovis-tonantis

Diarrhoea

Morinda lucida

9

Musanga cecropioides

Pleiotaxis rugosa

Psidium guajava

Senna occidentalis

Vitex madiensis

Fatigue

Annona senegalensis

6

Annona stenophylla subsp. cuneata

Aspilia kotschyi

Erythrina abyssinica

Indigofera paracapitata

Vitex mandiensis

Inflammation

Entada abyssinica

5

Dichrostachys cinerea subsp. Africana

Gardenia ternifolia subsp. jovis-tonantis

Millettia versicolor

Securidaca longepeduncula

Lordosis

Aloe buettneri

6

Capsicum frutescens

Jatropha curcas

Ocimum gratissimum

Securidaca longepeduncula

Spondias mombin

Low haemoglobin

Annona stenophylla subsp. cuneata

16

Hibiscus acetosella

Persea americana

Vitex mandiensis

Annona senegalensis

Annona stenophylla subsp. cuneata

Dianthera secunda

Erythrina abyssinica

Ficus sycomorus

Helichrysum mechowianum

Indigofera paracapitata

Ipomoea batatas

Laportea aestuans

Sarcocephalus latifolius (Nauclea latifolia)

Ochna afzelii subsp. mechowiana

Pleiotaxis rugosa

Stomachache

Annona muricata

6

Cucurbita pepo

Garcinia kola

Maprounea africana

Persea americana

Steganotaenia araliacea

Toothache

Anacardium occidentale

8

Carica papaya

Crossopteryx febrifuga

Entada abyssinica

Gardenia ternifolia subsp. jovis-tonantis

Jatropha curcas

Maprounea africana

Pachylobus edulis

Typhoid

Allium sativum

9

Erythrina abyssinica

Garcinia kola

Sarcocephalus latifolius (Nauclea latifolia)

Nauclea pobeguinii

Pistacia terebinthus

Pleiotaxis rugosa

Psidium guajava

Senna occidentalis

Yellow fever

Cymbopogon citratus

6

Entada abyssinica

Erythrina abyssinica

Harungana madagascariensis

Saccharum officinarum

Annona muricata

Of the 59 illnesses and symptoms documented in this study, the greatest number of medicinal plants were used to treat low haemoglobin levels, with 16 species with 22.54% (Table 5). Next came stomach ache with 10 species (14.08%), diarrhoea (9 species, i.e. 12.68%), typhoid (9 species, i.e. 12.68%), toothache (8 species, i.e. 11.27%), diabetes (7 species, i.e. 9.86%), colds (6 species, i.e. 8.45%), fatigue (6 species, i.e. 8.45%), lordosis (6 species, i.e. 8.45%), stomach ache (6 species, i.e. 8.45%), yellow fever (6 species, i.e. 8.45%), cough (5 species, i.e. 7.04%), and inflammation with 5 species (7.04%) of medicinal plants. Furthermore, the other diseases are treated by less than 5 medicinal plant species. Table 5 shows the thirteen main illnesses treated with phytomedicines in Kimalalu. According to (Mawunu et al., 2022) cough is the main illness treated with the highest number of medicinal plants in the small town of Songo (in northern Angola), with 17 species in total, followed by anaemia (14 species), stomach ache (8 species), yellow fever (8 species.), malaria (8 species), diarrhoea (7 species), fever (6 species), hypertension (6 species), malaria (6 species), typhoid (6 species), hepatitis (5 species), worms (5 species), asthma (4 species), skin infection (4 species), stomach infection (4 species) and toothache (4 species).

Relationship between medicinal plants and ailments treated at Kimalalu

The results of this study reveal that the most versatile medicinal plant in the study area is Securidaca longepedunculata, which treats eight (8) human ailments: body pain, bronchitis, colds, constipation, gonorrhoea, inflammation, lordosis, thrombosis). In addition, the other medicinal plants most frequently used in the treatment of human illnesses are: Spondias mombin (mastitis, lordosis, bronchitis, asthma, breast milk infection); Senna occidentalis (stomach ache, bloody diarrhoea, diarrhoea, diabetes, typhoid); Saccharum officinarum (yellow fever, body weakness, vomiting); Pleiotaxis rugosa (low haemoglobin, diabetes, diarrhoea, typhoid); Persea americana (hypertension, measles, stomach ache, low haemoglobin). Also, Sarcocephalus latifolius (Nauclea latifolia) (impotence, hernia, typhoid, anaemia); Nauclea pobeguinii (typhoid, malaria, bladder pain, diabetes); Mesosphaerum suaveolens (cough, fever, cold, malaria); Entada abyssinica (stomachache, inflammation, yellow fever, toothache); Steganotaenia araliacea (backache, body aches, cold, stomachache); and Vitex mandiensis (diarrhoea, candidiasis, low haemoglobin, fatigue). All in all, the other medicinal plants have only been used to treat one to three human ailments. (Mawunu et al., 2022) reported that Carica papaya was the most used herbal plant in traditional medicine treating 13 different symptoms and diseases commonly documented in the small town of Songo, followed by Gymnathemum amygdalinum with 8 medicinal uses, Annona muricata (7 medicinal uses), Solanum lycopersicum (6 medicinal uses), Persea americana (6 medicinal uses), Brillantaisia owariensis (6 medicinal uses), Abelmoschus esculentus (6 medicinal uses), Pachylobus edulis (5 medicinal uses), Manihot esculenta (5 medicinal uses), Mangifera indica (6 medicinal uses), Dysphania ambrosioides (5 medicinal uses), and Anacardium occidentale (5 medicinal uses).

Quantitative ethnobotanical indexes

Frenquency of citation

The current study is the first report on medicinal plants used in traditional medicine in Kimalalu, northern of Angola. Table 6 shows the different citation frequencies of the medicinal plant species in the current study, i.e. frequency of citation (FC), relative frequency of citation (RFC), relative frequency of citation in percent (RFC%) and CI is used to determine the number of times a plant has been cited in the management of diseases in the study area.

According to the results in Table 6, the highest relative frequency of citation (RFC) was observed in Persea americana with RFC=0.04, followed by Harungana madagascariensis (RFC=0.037), Spondias mombin (RFC=0.037), Dysphania ambrosioides (RFC=0.034), Senna occidentalis (RFC=0.031), Securidaca longepedunculata (RFC=0.028), Entada abyssinica (RFC=0.025), Pachylobus edulis (0.028), Securidaca longepedunculata (RFC=0.028), Ficus sycomorus (RFC=0.025), Mondia whitei (RFC=0.025), Cymbopogon densiflorus (RFC=0.022), Indigofera paracapitata (RFC=0.022), Ocimum gratissimum (RFC=0.022), Pleiotaxis rugosa (RFC=0.019), Costus afer (RFC=0.019), Gymnanthemum amygdalinum (RFC=0.019), Jatropha curcas (RFC=0.019), Morinda lucida (RFC=0.025), Nauclea latifólia (RFC=0.019), Nicotiana tabacum (RFC=0.019), Saccharum officinarum (RFC=0.019), Anacardium occidentale (RFC=0.016), Annona stenophylla subsp.cuneata (RFC=0.016), Carica papaya (RFC=0.016), Dianthera secunda (0.016), Dorstenia psilurus (RFC=0.016), Gardenia ternifolia subsp. jovis-tonantis (RFC=0.016), Laportea aestuans (RFC=0.016), Mesosphaerum suaveolens (RFC=0.016), Millettia versicolor (RFC=0.016), Musanga cecropioides (RFC=0.016), Vitex madiensis (RFC=0.012), Aloe buettneri (RFC=0.012), Annona muricata (RFC=0.012), Aspilia kotschyi (RFC=0.016), Cymbopogon citratus (RFC=0.012), Aloe buettneri (0.012), Annona muricata (RFC=0.012), Aspilia kotschyi (RFC=0.012), Cymbopogon citratus (RFC=0.012), Psidium guajava (RFC=0.012), Sida acuta (RFC=0.012), Steganotaenia araliácea with RFC=0.012. Ethnomedicinal plant species with high RFC values indicate that they are widely used and known by local communities. The above shows that Persea amaerina was the most frequently cited plant for medicinal use, making it the plant species most widely used in local pharmacopoeia. (Masengo et al., 2024), in their study based on Inventory and ethnobotanical study of edible fruit plants in Uíge city, Northern Angola reported that the most commonly used medicinal plant species were Mangifera indica and Persea americana.

Table 6

Some ethnobotanical indices calculated in this study.

N0

Medicinal plant species

Ethnobotanical indices

FC

RFC

RFC%

CI

1

Persea americana

13

0.040

4.0

0.052

2

Spondias mombin

12

0.037

3.7

0.048

3

Harungana madagascariensis

12

0.037

3.7

0.048

4

Dysphania ambrosioides

11

0.034

3.4

0.044

5

Senna occidentalis

10

0.031

3.1

0.040

6

Securidaca longepedunculata

9

0.028

2.8

0.036

7

Pachylobus edulis

9

0.028

2.8

0.036

8

Entada abyssinica

9

0.028

2.8

0.036

9

Ficus sycomorus

8

0.025

2.5

0.032

10

Mondia whitei

8

0.025

2.5

0.032

11

Erythrina abyssinica

8

0.025

2.5

0.032

12

Pleiotaxis rugosa

7

0.022

2.2

0.028

13

Ocimum gratissimum

7

0.022

2.2

0.028

14

Indigofera paracapitata

7

0.022

2.2

0.028

15

Cymbopogon densiflorus

7

0.022

2.2

0.028

16

Saccharum officinarum

6

0.019

1.9

0.024

17

Nicotiana tabacum

6

0.019

1.9

0.024

18

Nauclea latifolia Sm

6

0.019

1.9

0.024

19

Morinda lucida Benth

6

0.019

1.9

0.024

20

Jatropha curcas

6

0.019

1.9

0.024

21

Gymnanthemum amygdalinum

6

0.019

1.9

0.024

22

Costus afer

6

0.019

1.9

0.024

23

Vitex madiensis

5

0.016

1.6

0.020

24

Musanga cecropioides

5

0.016

1.6

0.020

25

Millettia versicolor

5

0.016

1.6

0.020

26

Mesosphaerum suaveolens

5

0.016

1.6

0.020

27

Laportea aestuans

5

0.016

1.6

0.020

28

Dorstenia psilurus

5

0.016

1.6

0.020

29

Dianthera secunda

5

0.016

1.6

0.020

30

Carica papaya

5

0.016

1.6

0.020

31

Annona stenophylla subsp. cuneata

5

0.016

1.6

0.020

32

Anacardium occidentale

5

0.016

1.6

0.020

33

Gardenia ternifolia subsp. jovis-tonantis

5

0.016

1.6

0.020

34

Steganotaenia araliacea

4

0.012

1.2

0.016

35

Sida acuta

4

0.012

1.2

0.016

36

Psidium guajava

4

0.012

1.2

0.016

37

Cymbopogon citratus

4

0.012

1.2

0.016

38

Aspilia kotschyi

4

0.012

1.2

0.016

39

Annona muricata

4

0.012

1.2

0.016

40

Aloe buettneri

4

0.012

1.2

0.016

41

Ochna afzelii subsp. Mechowiana

3

0.009

0.9

0.012

42

Momordica balsamina

3

0.009

0.9

0.012

43

Maprounea africana

3

0.009

0.9

0.012

44

Gossypium barbadense

3

0.009

0.9

0.012

45

Garcinia kola

3

0.009

0.9

0.012

46

Crossopteryx febrifuga

3

0.009

0.9

0.012

47

Catharanthus roseus

3

0.009

0.9

0.012

48

Vigna unguiculata

2

0.006

0.6

0.008

49

Solanum lycopersicum

2

0.006

0.6

0.008

50

Pistacia terebinthus

2

0.006

0.6

0.008

51

Nauclea pobeguinii

2

0.006

0.6

0.008

52

Manihot esculenta

2

0.006

0.6

0.008

53

Mangifera indica

2

0.006

0.6

0.008

54

Hibiscus acetosella

2

0.006

0.6

0.008

55

Cucurbita pepo L.

2

0.006

0.6

0.008

56

Corymbia citriodora

2

0.006

0.6

0.008

57

Cajunus cajan

2

0.006

0.6

0.008

58

Brillantaisia owariensis

2

0.006

0.6

0.008

59

Bridelia ferruginea

2

0.006

0.6

0.008

60

Allium sativum

2

0.006

0.6

0.008

61

Alchornea cordifolia

2

0.006

0.6

0.008

62

Kalanchoe crenata

1

0.003

0.3

0.004

63

Ipomoea batatas

1

0.003

0.3

0.004

64

Helichrysum mechowianum

1

0.003

0.3

0.004

65

Dichrostachys cinerea subsp. Africana

1

0.003

0.3

0.004

66

Combretum racemosum

1

0.003

0.3

0.004

67

Citrus sinensis

1

0.003

0.3

0.004

68

Chromolaena odorata

1

0.003

0.3

0.004

69

Capsicum frutescens

1

0.003

0.3

0.004

70

Azadirachta indica

1

0.003

0.3

0.004

71

Annona senegalensis

1

0.003

0.3

0.004

72

Aframomum melegueta

1

0.003

0.3

0.004

According to (Mawunu et al., 2022) the most frequently used medicinal plant species in the small town of Songo (northern Angola) were Carica papaya (Caricaceae) with a relative frequency of RFC=0.07 (37 citations), followed by Mangifera indica (RFC=0.06, 29 citations), Persea americana (RFC=0.05, 27 citations), Pachylobus edulis (RFC=0.05, 24 citations) and Annona muricata (RFC=0.04, 23 citations). To end,Lautenschläger et al. (2018) reported in their ethnobotanical study of plants from the province of Uige (Angola) that Annona stenophylla subsp. Cuneata (RFC=0.371) Hymenocardia acida (RFC=0.355), Vitex madiensis (RFC=0.323), Psorospermum febrifugum (RFC=0.306), Raphia matombe (RFC=0.306), and Chromolaena odorata (RFC=0.274) were the species with the highest relative frequency of citation.

As for the Confirmation Index (CI), i.e. the number of times a plant was cited in the management of human diseases in the study area, the results in Table 6 reveal that the taxa most frequently cited individually by resource persons were Persea americana (CI=0.052), Spondias mombin (CI=0.048), Harungana madagascariensis (CI=0.048), Dysphania ambrosioides (CI=0.044), Senna occidentalis (CI=0.040), Securidaca longepedunculata (CI=0.036), Pachylobus edulis (CI=0.036), and Entada abyssinica (CI=0.036). Also, the remaining species had a Confirmation Index of less than 0.036 (Table 6). Besides, the consensus index (CI=0.052) obtained for Persea americana indicates that there is high agreement around its dietary and therapeutic use. This can be explained by the cultural proximity of the respondents. According to Heinrich, Ankli, Frei, Weimann, and Sticher (1998), the informant’s consensus can help to select plant species for further pharmaceutical analyses. Lautenschläger et al. (2018), in their ethnobotanical study in northern Angola, reported that the diseases with the highest informant consensus values were malaise, diarrhoea, anaemia, skeletal deformities and stomach ache.

Medicinal capability índex (MCI)

With regard to the measurement of the potential of the community studied to treat well-defined diseases, i.e. the medicinal capacity index (MCI), the results obtained after the calculations reveal that the main diseases treated with more plants out of the 72 plants documented were low haemoglobin (MCI=0.222), diarrhoea (MCI=0.125), typhoid (MCI=0.125), toochache (MCI=0.111), cough (MCI=0.097), cold (MCI=0.083), diabetes (MCI=0.083), fatigue (MCI=0.083), lordosis (MCI=0.083), stomachache (MCI=0.083), yellow fever (MCI=0.083), and inflammation (MCI=0.069), belly ache (MCI=0.069) and asthma (MCI=0.069). Valentin et al. (2024)Valentin et al. (2024) in the Democratic Republic of Congo reported in their study that the diseases with the highest MIC were gastrointestinal disorders (MCI=0.31), sexual infections (MCI=0.14), malaria (MCI=0.13), wounds (MCI=0.11), fever (MCI=0.09), sexual dysfunction (MCI=0.09), rheumatism (MCI=0.08), and tooth decay with MCI=0.06.

The Correlation between the variables studied and the dimensions of the principal component analysis

Figure 10 shows the correlation between the variables studied and the dimensions of the principal component analysis.

Figure 10

The correlation between the variables studied and the dimensions of the principal component analysis.

https://s3-us-west-2.amazonaws.com/typeset-prod-media-server/7be84327-ab6b-4301-a876-704438a92c70image2.png

The multiple component analysis revealed that the preparation modes showed a correlation of 0.445 with the administration modes, followed by a correlation of 0.147 between the administration modes and the knowledge sources. The weakest correlations were observed between sex and preparation modes (0.019), as well as between sex and marital status (0.086). The first dimension, with an eigenvalue of 2.384, explained the variance significantly, followed by the second dimension at 1.271, and so on, indicating that the first dimension had a greater influence on the data than the subsequent dimensions. The correlation coefficients between the variables studied (preparation modes, administration modes, knowledge sources, sex, marital status, education level, and occupation) and the dimensions of the principal component analysis are given in the figure 10. It can be noted that in the first dimension, occupation has the highest coefficient (0.582), followed by education level (0.475) and marital status (0.469), indicating that these variables are strongly related to this dimension. However, in the second dimension, preparation modes (0.656) and administration modes (0.590) have the highest coefficients, indicating that they are most closely related to this dimension. Knowledge sources have a low coefficient in the first dimension (0.298) and a coefficient close to zero in the second dimension (0.001), suggesting that they have little impact on the differentiation of individuals in these dimensions.

Ways of acquiring and transmitting traditional medical knowledge

The results of this survey show that herbal medicine is an important age-old tradition in Angola, particularly in the Kimalalu comunity. The one and only (100%) way of transmitting ethnobotanical knowledge used by local people in Kimalalu was through oral tradition. In addition, the vast majority of informants (88%) stated that they had passed on their knowledge to other people (in particular, family members, children, nieces, nephews, grandchildren and biological brothers and sisters; unrelated people living in the same community), while 12% of the surveys preferred to keep it secret. In addition, the vast majority of informants (88%) stated that they had passed on their knowledge to other people (in particular, family members, children, nieces, nephews, grandchildren and biological brothers and sisters; unrelated people living in the same community), while 12% of the surveys preferred to keep it secret. Also, the holders of indigenous herbal knowledge in the study area also passed on their knowledge to other members of the community in order to ensure its continuity.In addition, traditional knowledge comes from various people in the community, including relatives (66.4%), in particular mothers, fathers, uncles, grandfathers and grandmothers.Other members of the community were the elderly (18%), friends and acquaintances (15.2%) and local neighbours (0.4%). Our results are consistent with those of authors (Mawunu et al., 2022) in Angola and Teshome et al. (2023) andYohannis, Asfaw, and Kelbessa (2018) in Ethiopia, who indicated that most sources of traditional knowledge about medicinal plants are transmitted orally and by relatives.

Other uses of medicinal plants documented, threats and conservation Practices

According to the data from this study, informants told us that, with population growth, medicinal plants are being used for a variety of purposes, including bioenergy (charcoal, firewood), housing construction and the manufacture of household implements. Residents of the study area still believe in the medicinal properties of the plants, and are familiar with their habitats (biotopes) and harvesting techniques. Several medicinal plants were found in home gardens in the study area (Table 2). Most of the medicinal plants grown in allotments are of exotic origin. However, wild medicinal plants are rarely grown in the study area.

Figure 11

Non-medicinal uses of plants studied at Kimalalu.

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As shown in Figure 11, in the study area most of the non-medicinal uses are also used for other non-medicinal purposes. The majority of plants are used for herbal teas (25.69%), followed by bioenergy (22.02%) including charcoal and firewood, food (16.51%), ornamentation (9.17%), construction materials (7.34%), hedges (4.59%), shade (2.75%), spices (2.75%), stimulant (1.83%), windbreak (1.83%), aphrodisiac (0.92%), brooms (0.92%), timber (0.92%), traditional alcoholic beverage (0.92%), lightning rod (0.92%) and pestle with 0.92%. The results of this study are partly consistent with those reported by (Mawunu et al., 2022) in the small town of Songo in northern Angola.

According to threats to medicinal plants and conservation practices, local people in the study area indicated that medicinal plants were most threatened by the expansion of slash-and-burn agriculture or shifting cultivation and deforestation (71.6%). Other threats (28.4%) to medicinal plants were timber, woods for Leathering bricks, charcoal, construction materials, mechanised agriculture firewood, and building materials, road construction, village expansion and bush fires. Our results are in agreement with those ofGonfa, Tulu, Hundera, and Raga (2020) in Ethiopia who reported that the main threats to medicinal plants in the study area were agricultural expansion (41.6%), charcoal production (16.6%), firewood (28.3%) and construction (13.3%). Research carried out elsewhere in the country also revealed that agricultural expansion and deforestation are main threats to medicinal plants reported that medicinal plants were threatened by agricultural expansion, charcoal production, firewood and overexploitation of ecosystems (Bogale, Sasikumar, & Egigu, 2023; Mekuanent, Zebene, & Solomon, 2015; Monizi et al., 2019).

The results of this study into the medicinal plants traditionally used by the rural populations of Kimalalu, in the municipality of Songo (Uíge province), highlight the crucial importance of conserving and preserving traditional knowledge. This ancestral knowledge represents an invaluable cultural and scientific heritage that can contribute to the discovery of new medicines. For practical applications, it is essential to promote programmes to document and disseminate this knowledge to future generations and healthcare practitioners. Politically, it is recommended that legal frameworks be put in place to protect the rights of local communities to their traditional knowledge and to facilitate equitable access to the benefits derived from the use of these plants. Moreover, policies to conserve biodiversity, support ethnobotanical research and develop collaboration between researchers and traditional healers should be put in place to maximise the socio-economic and medical benefits.

CONCLUSIONS AND PERSPECTIVES

This study presents the first exploration of indigenous ethnomedical knowledge in the rural territory of Kimalalu in the province of Uíge, Angola. This area is home to a great diversity of wild and cultivated medicinal plants, as well as a reservoir of traditional knowledge that plays an important role in the treatment of various human ailments. Most of the medicinal plants listed in this study are of indigenous origin. Local communities are generally unaware of the importance of conserving medicinal plants. Documenting indigenous knowledge is essential for its preservation, the sharing of information in the civil service, the invention of new medicines and the future conservation management of threatened flora. In the course of this study, very important information was gathered on many medicinal plants. The 72 medicinal plants reported are used by indigenous people to treat more than 59 illnesses, including low haemoglobin or anaemia, yellow fever, stomach ache, toothache, cough, typhoid fever, fatigue, diarrhoea and malaria. The medicinal plants most frequently cited by the inhabitants of Kimalalu were Dysphania ambroisioides, Persea americana, Spondias mombin, and Senna occidentalis. Most people ignore conservation strategies, leading to the extinction of many species. Based on the results of the current survey, urgent attention is required for the conservation and documentation of traditional plant knowledge and the conservation of medicinal plants. Securidaca longepedunculata, was the ethnomedicinal species most commonly used in the record-breaking treatment of eight human ailments: body aches, bronchitis, colds, constipation, gonorrhoea, inflammation, lordosis and thrombosis. Slash-and-burn agriculture is the main source of jobs, income and food, and is also responsible for the degradation of plant biodiversity. Oral tradition is the only way of passing on ethnobotanical knowledge. The local medicinal flora is dominated by phanerophytes of tropical origin.

Despite the significant contributions of this study, certain limitations should be highlighted, including the limited sample size, variability in ethnolinguistic groups, ecological areas, seasons, and traditional practices that may not be representative of the entire province. For future research, it is suggested that the sample be expanded to include other quantitative methods to assess the effectiveness of the identified medicinal plants within the community. In addition, longitudinal and comparative studies between different communities could provide more comprehensive insights into the use and preservation of traditional knowledge in Angola and beyond. Mereover, it is therefore important to put in place interventions that involve and inform local users of medicinal plants in order to halt and reverse the negative impact they have caused on these natural resources. One such intervention strategy could be the domestication of these species in situ or ex-situ botanical gardens. These would encourage the conservation of these precious genetic resources, serve as open spaces for research and act as education centres to promote a greater appreciation of their use among younger generations, and provide local traditional healers and pharmaceutical industries with access to medicinal plants harvested sustainably in a single location.

Ethical approval

Ethical approval for the study was obtained from the Life Sciences Department, Faculty of Science and Technology (University of Kinshasa), under protocol number 022/CDB/MSV/FST/UNIKIN.

Author contributions

MM conceived and designed the study. ADM, LCA and MM carried out data collection, integrated the inventory, and performed the analysis, as well as contributed to manuscript writing. MM, LL, ADM, LCA, KNN, and LN identified the plants, reviewed, and edited the manuscript. All authors have read and approved the final published version.

Conflicts of interest

Authors declare that there is no conflict of interest.

Abbreviations

BT: Biological distribution; PD: Phytogeographical distribution; Afro-american (AA); Afro-tropical continental (AT); Low Guinean-Congolese (LGC); Guineo-congolese (GC); Paleotropics (Pal); Pantropical (Pan); Cameroonian-Guinean-Congolese (CGC); Cosmopolytes (Cos); Fr.= French; Kik.= Kikongo; Ling.= Lingala; Port.= Portuguese; Phanerophytes (Ph); Therophytes (Th) Geophytes (G) %; Mesophanerophytes (MsPh); Microphanerophytes (McPh); Nanophanerophytes (NPh) liana phanerophytes (LPh); Rhizomatous geophytes (Grh); tuberous geophytes (Gt); erect therophytes (Thd); climbing therophytes (Thgr); prostrate therophytes (Thpr); erect chamaephytes (Chd); rhizomatous chamaephytes (Chrh); Hemicryptophytes (Hce); Zoochores (Zoo); ballochores (Ballo); Barochores (Baro); Sarcochores (Sarco); Desmochores (Desm); pterochores (Ptero); and pogonochores (Pogo).