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Avicenna Journal of Phytomedicine logoLink to Avicenna Journal of Phytomedicine
. 2019 Mar-Apr;9(2):153–163.

Ethnomedicinal uses of plants for the treatment of nervous disorders at the herbal markets of Bojnord, North Khorasan Province, Iran

Mohabat Nadaf 1,*, Mohammad Joharchi 2, Mohammad Sadegh Amiri 1
PMCID: PMC6448544  PMID: 30984580

Abstract

Objective:

Since ancient times, plants have been commonly used to cure human ailments by indigenous people throughout the world. Nervous diseases are rising all around the world. This paper provides important ethnobotanical information on plants that are used against neurological disorders and are available in medicinal markets of Bojnord, northeastern Iran.

Materials and Methods:

This survey, as an ethnobotanical study, was carried out between 2017 and 2018. The identification of the intended plant species was done using the available Floras. Some important indices such as the frequency of citations, relative frequency of citation (RFC), family importance value and use report were calculated for the medicinal plants included in the present study.

Results:

The present study includes 58 medicinal plant species belonging to 36 families and reports their mentioning scientific and vernacular names, parts used, and preparation method. The most common family was Lamiaceae. The major parts of the identified plants used for treatment of nervous )neuropsychological( disorders were flower and aerial parts. The most common methods used for preparation of these plants were infusion and decoction. Stachys turcomanica, Tripleurospermum disciforme, Melissa officinalis, Nardostachys jatamansi, and Aloysia citriodora had the highest rate of use report. Echium amoenum and Melissa officinalis had the highest RFC.

Conclusion:

The study indicated that although people in Bojnord have access to modern medicinal preparations, a considerable number of them still use medicinal plants for therapeutic purposes. Seemingly, most cited plants are worth more precise evaluations for their pharmacological activity.

Key Words: Medicinal plants, Lamiaceae, Frequency of citation, Family importance value

Introduction

Indigenous knowledge of medicinal herbs is regarded as an important source of information for health care, throughout the world (Hamilton, 2004 ▶; Reyer-Garcia et al., 2013 ▶). Nowadays, traditional medicinal plants are extensively utilized for treating ailments (Davidson-Hunt, 2000 ▶). Herbal medicine refers to the medical use of plant parts (leaves, stems, root. flowers, fruits and seeds) for treatment of diseases (Iriti et al., 2010 ▶). Most of the population use traditional medicine for health care. As positive aspects of traditional medicine, researchers have mentioned diversity, flexibility, accessibility, relevance in developing countries, relatively low cost, and few side effects of medicinal plants (Payyappallimana, 2010 ▶). Traditional medical knowledge of plant species and their uses by indigenous people are useful not only for conservation of inherited traditional medicine, but also for drug development (Kantati et al., 2016 ▶). It is estimated that nearly 25% of modern drugs are directly or indirectly originated from plants (Imanshahedi and Hosseenzadeh, 2006 ▶). Medicinal plants species have shown therapeutic potentials for treatment of neurological disorders. According to the World Health Organization (WHO) reports, more than one billion people worldwide suffer from illnesses of the central nervous system (CNS). Mental disorders primarily appear as abnormalities of thought, feeling or behavior, producing either distress or impairment of function (calvo and Cavero, 2015 ▶). Depression and anxiety are clinic illnesses related to the CNS. Depression as the second reason of disability after cardiovascular diseases, causes severe social and economic deficits (Saki et al., 2014 ▶).

Depressed people experience periods of reduced productivity. Therefore, many arguments have been put forward in this context (Jelodar et al., 2018 ▶). Anxiety disorders are the most common types of mental illnesses observed in communities. Insomnia is one of the most common disorders that many people are chronically suffering from for different reasons (Neubaur, 2003 ▶). Alzheimer's disease is the most common cause of severe mental deterioration (dementia) in the elderly (Akhonzadeh and Maleki, 2006 ▶; Poorgholam et al., 2018 ▶). Epilepsy is a chronic disorder, estimated to affect at least 10 million people worldwide, and it is associated with alterations in mental processes, state of consciousness or involuntary movements. Convulsion is abnormal discharge of a group of neurons in the CNS, and may occur in different clinical forms depending on the discharge rate and its spread (Saki et al., 2014 ▶). Taking into account the existing knowledge on the medicinal plants used for treatment of neurological disorders, it is necessary to collect and standardize the information available about plant species used for curing the nervous system. Recently, ethnic people or rural communities around the world have gathered such information (Calvo and Cavero, 2015 ▶; Saki et al., 2014 ▶; Kantati et al., 2016 ▶; Sahoo, 2018 ▶; Akhonzadeh and Maleki, 2006 ▶; Maleki and Akhani, 2018 ▶; Mosaddegh et al., 2012 ▶; Dolatkhah et al., 2014 ▶). Nevertheless, most of these studies were conducted qualitatively and lack quantitative analysis of ethnomedicinal data. This paper aims at introducing the ethnoneurological uses of medicinal plants and highlighting candidate plants for further pharmacological investigations. Moreover, we applied some quantitative approaches to analyze folk medicine knowledge available in this field.

Materials and Methods

Study area

Bojnord is located in the northeast of Iran. It is the capital city of North Khorasan province, Iran. It is about 701km from Tehran. Its approximate geographic location is between 57° 17' to 57° 28' eastern longitude and 37° 13' to 37° 50' northern latitude. The total surface area of Bojnord is 36 km2 with a population of about 228931 people. Bojnord has a semiarid and cold climate with annual precipitation ranging between 414.6 to 126.1mm and maximum and minimum temperatures of 19.9 and 6.8°C.

The city is famous for its multicultural background. Many people speak at least 2 of the following languages: Persian, Tati, Khorasani Turkic, Kurmanci Kurdish, and Turkmen. Intermarriage between the ethnic groups speaking these languages is common.

Data collection and nomenclature

In order to gather information on medicinal plants used for curing nervous (neuropsychological) disorders that are found in the herbal markets of Bojnord, data were collected during 2017-2018. Thirty-four informants (aging 28-70 years; 30 males and 4 females) in the herbal markets, were interviewed (Table 1).

Table 1.

Demographic data of the interviewed informants at the herbal markets of Bojnord, North Khorasan Province, Iran

Variable Demographic
catrgories 		Number of
informants 		Percentages
Gender Female
Male		 4
30		 11.76
88.23
Experience Local healers 34 100
Age groups 20-40
41-60
Above 60		 9
18
7		 26.4
61.76
20.5
Education Diploma
Bachelor
Masters		 7
24
3		 20.5
70.5
8.8
Residence Urban 34 100
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During the interviews, ethnobotanical information, including vernacular names, utilized parts, purpose of usage, duration of the treatment and the method of preparation were recorded for plants used for curing neuropsychologicalproblems. After data collection, we presented specimens of plants to different people to confirm the accuracy of results. These medicinal plants collected from herbal markets in Bojnord were identified and authenticated by using floristic and taxonomic references, especially Flora Iranica (Rechinger, 1963-2015 ▶), Flora of Iran (Assadi et al, 1988-2013 ▶). Identified species were deposited at the herbarium of Payame Noor university of Bojnord. In this paper, the accuracy of scientific and author names of medicinal plants were confirmed using www.theplantlist.org.

Data analysis

One important aspect of quantitative ethnobotanical analysis is the use of quantitative techniques to assess the medicinal use of plants in a specific area (Hussain et al., 2018 ▶). The following indices were calculated in the present study.

Frequency of Citation (FC) and relative frequency of citation (RFC)

The frequency of citations (FC) is the number of informants who mentioned a certain species.

Relative frequency of citation (RFC) is obtained by dividing frequency citation (FC) by total number of informants in the survey (N). The value of RFC for species of medicinal plants is based on the citing percentage of informants for every species. RFC was calculated by using the following formula (Tardio and Pardo-de Santayana, 2008 ▶):

RFC=FC/N (0<RFC<1)

RFC varies from zero (when nobody refers to a plant as a useful one), to one (when all the informants consider a certain species beneficial).

Use report (UR)

Use report (UR) is the use recorded for every plant species in this survey.

Family importance value (FIV)

Family importance value (FIV) gives the local importance of the families of wild species. It was calculated by calculating the percentage of informants mentioning a specific family (Vitalini et al., 2013 ▶).

FIV=FC (family)/ N×100

Where FC is the number of informants mentioning the family and N is the total number of informants participated in the study.

Statistical analyses

All statistical analyses are carried out with Microsoft Excel 2016.

Results

Diversity of medicinal plants

A total of 58 medicinal plants used for treatment of neuropsychological disorders were identified at the herbal markets in Bojnord. Information of identified plants obtained from this survey is shown in Table 2. Ethnobotanical data, scientific name, family, local name, parts used, preparation methods, frequency of citation (FC), number of use reports (UR) and therapeutic applications are represented for each plant species.

Table 2.

Medicinal plants and their uses for treatment of neuropsychological disorders

NO Family Name Scientific name Local name Part used Uses Preparation FC RFC UR
1 Anacardiaceae Pistacia atlantica Desf. subsp. Kurdica "Saghez" Oleo-gum-resin to strengthen the memory Chewing gum 6 0.17647 1
2 Pistacia lentiscus L. "Mastaki" Gum to strengthen the memory Decoction 10 0.29412 1
3 Apiaceae Coriandrum sativum L. "Geshniz" Fruit Hypnotic Infusion 18 0.52941 1
4 Eryngium sp. "Zolangon,Bughnagh" Aerial parts Sedative Decoction 3 0.08824 1
5 Ferula gummosa Bioss. "Ghasni" Root- Gum Sedative, to strengthen the memory Decoction 13 0.38235 2
6 Araliaceae Panax ginseng C.A.Mey. "Jin Sing" Root Nerve tonic Decoction 9 0.26471 1
7 Asteraceae Achillea santolinoides subsp. wilhelmsii (K.Koch) Greuter. "Bumadaran" Aerial parts Nerve tonic Infusion 20 0.58824 1
8 Artemisia dracunculus L. "Talkhan,Tarkhun" Leaves Nerve tonic Decoction, Edible 7 0.20588 1
9 Calendula officinalis L. "HamisheBahar" Flower Sedative Infusion 10 0.29412 1
10 Stevia rebaudiana (Bertoni) Bertoni. "Estevia" Leaves Sedative, Nerve tonic Infusion 2 0.05882 2
11 Tripleurospermum disciforme (C.A.Mey.) Sch.Bip. "BabunehDashti" Flower Nerve tonic, Antimigraine, Antistress, Sedative, Hypnotic Infusion 22 0.64706 6
12 Boraginaceae Echium amoenum Fisch. & C.A.Mey. "Gavzaban" Flower Nerve tonic, Antistress, Hypnotic Decoction 24 0.70588 3
13 Burseraceae Boswellia sacra Fluek. "Kondor" Gum to strengthen the memory Infusion 20 0.58824 1
14 Cannabinaceae Humulus lupulus L. "Razak" Hops Sedative Decoction 3 0.08824 1
15 Caparifoliaceae Nardostachys jatamansii (D.Don) DC. "Sonbolotib" Root Nerve tonic, Sedative, Hypnotic, Antistress, Antimigraine, Anticonvulsion Infusion 18 0.52941 6
16 Combretaceae Terminalia chebula Retz. "HalilehSiah" Fruit Antialzheimer Decoction 13 0.38235 1
17 Convolvolaceae Cuscuta epithymum Murray. "Aftimun" Aerial parts Nerve tonic, Anticonvulsion Infusion 9 0.26471 2
18 Cyperaceae Cyperus rotundus L. "SoadeKufi" Root Sedative, to strengthen the memory, Antimigraine Decoction 5 0.14706 3
19 Ericaceae Vaccinium arctostaphylos L. "Belobery" Fruit to strengthen the memory Edible 1 0.02941 1
20 Fabaceae Arachis hypogaea L. "Badamzamini" Seed Antialzheimer Infusion 4 0.11765 1
21 Glycyrrhiza glabra L. "Shirin Bayan" Root Antidepressant Infusion 19 0.55882 1
22 Hypericaceae Hypericum scabrum L. "Saregul" Flower Antimigraine, Antidepressant, Sedative Infusion 7 0.20588 4
23 Iridaceae Crocus sativus L. "Zaffaron" Stigma Nerve tonic, Antidepressant, Sedative Decoction, Edible 9 0.26471 3
24 Lamiaceae Dracocephalum lindbergii Rech.f. "Aghbash" Aerial parts Sedative, Hypnotic Infusion 12 0.35294 2
25 Hymenocrater elegans Bunge. "Sephtalek" Aerial parts Hypnotic, Antistress, Sedative Infusion 15 0.44118 3
26 Melissa officinalis L. "Badranjbuyeh" Flower ـ Leaves to strengthen the memory, Nerve tonic, Hypnotic, Antistress, Sedative, Anticonvulsion Infusion 24 0.70588 6
27 Lavandula angustifolia Mill. "Lavand" Aerial parts Nerve tonic Infusion 2 0.05882 1
28 Mentha longifolia (L.) Hudson "Puneh" Aerial parts Sedative Infusion 21 0.61765 1
29 Stachys turcomanica Trautv. "Ostokhodus" Aerial parts Antidepressant, Sedative, Antistress, Antimigraine, Sedative, Anticonvulsion, Nerve tonic, Hypnotic Infusion 21 0.61765 8
30 Ocimum basilicum L. "Tokhm
Sharbati"		 Seed Hypnotic, Nerve tonic Infusion 4 0.11765 2
31 Origanum vulgare L. "Marzanjush" Aerial parts Sedative, Nerve tonic Infusion 18 0.52941 2
32 Rosmarinus officinalis L. "Rozmari" Leaves ـ Flower Antidepressant , Nerve tonic , Hypnotic Infusion 13 0.38235 3
33 Stachys lavandulifolia Vahl. "Ghellecahi" Flower Antidepressant, Sedative, Hypnotic, Nerve tonic Infusion 16 0.47059 4
34 Vitex negundo L. "FelfelKuhi" Flower Antidepressant Infusion 6 0.17647 1
35 Zataria multiflora Boiss. "AvishanShirazi" Aerial parts Nerve tonic Infusion 23 0.67647 1
36 Lauraceae Cinnamomum zeylanicum Nees. "Darchin" Bark to strengthen the memory Decoction 20 0.58824 1
37 Malvaceae Theobroma cacao L. "Kakau" Seed Sleep reducer Decoction 9 0.26471 1
38 Tilia cordata Mill. "Bargtyiol, Zirfun" Fruit- Leaves Nerve tonic, Hypnotic, Sedative Decoction 6 0.17647 3
39 Alcea spp. "Khatmi" Flower Sedative Infusion 20 0.58824 1
40 Moraceae Ficus carica L. "Anjir" Fruit Nerve tonic Decoction, Edible 5 0.14706 1
41 Papaveraceae Fumaria vaillantii Loisel. "Shatareh" Aerial parts Sedative, Nerve tonic Decoction 13 0.38235 2
42 Papaver rhoeas L. "Shaghayegh" Flower Addiction, Sedative, Hypnotic Decoction 2 0.05882 3
43 Passifloraceae Passiflora caerulea L. "GolSaati" Flower Antidepressant, Hypnotic, Sedative Decoction 5 0.14706 3
44 Pedaliaceae Sesamum indicum L. "Konjed" Seed to strengthen the memory Decoction 17 0.5 1
45 Plantaginaceae Plantago major L. "Barhang" Seed- Leaves Antialzheimer Infusion 17 0.5 1
46 Poaceae Avena sativa L "Jo dosar" Seed Antistress, Hypnotic Infusion 6 0.17647 2
47 Rosaceae Cydonia oblonga Mill. "BehDaneh" Seed- Leaves Sedative Decoction 7 0.20588 1
48 Rosa x damascene Mill. "GolMohamadi" Flower Antialzheimer, Sedative Decoction 19 0.55882 1
49 Rubiaceae Coffea Arabica L. "Ghahveh" Seed Sleep reducer Infusion 14 0.41176 1
50 Rutaceae Citrus aurantiifolia (Christm.) Swingle "LimuAmani" Fruit Sedative Infusion 17 0.5 4
51 Citrus aurantium L. "BaharNaranj" Flower Sedative , Antimigraine, Antistress, Hypnotic Decoction 20 0.58824 4
52 Salicaceae Salix alba L. "Bid" Bark- Leaves Sedative Decoction 4 0.11765 1
53 Salix aegyptiaca L. "Bidmeshk" Flower Antidepressant, Antimigraine, Sedative Decoction 4 0.11765 3
54 Solanaceae Hyoscyamus niger L. "Bangdaneh" Seed Sedative, Addiction Decoction 3 0.08824 2
55 Theaceae Camellia sinensis (L.) Kuntze "Chaisefid" Leaves Sedative Infusion 5 0.14706 1
56 Verbenaceae Aloysia citriodora Palau. "BehLimu" Leaves to strengthen the memory, Anticonvulsion, hypnotic, Sedative, Nerve tonic Decoction 17 0.5 6
57 Violaceae Viola odorata L. "Banafsheh" Flower Sedative Infusion 10 0.29412 1
58 Zingiberaceae Elettaria cardamomum Maton. "Hel" Fruit Sedative, Nerve tonic Decoction 19 0.55882 2
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The 58 medicinal species belong to 54 genus and 36 families namely, Lamiaceae (10 species), Asteraceae (5 species), Apiaceae (3 species), Anacardiaceae (2 species), Fabaceae (2 species), Rosaceae (2 species), Rutaceae (2 species), Salicaceae (2 species) and Verbenaceae (2 species). The other families were represented by only one species (Table 2 and Figure 1).

Figure 1.

Figure 1

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Plant families with the highest number of cited species for the treatment of neuropsychological disorders

The plant parts used and the method of preparation

Different parts of medicinal plants were used to cure neurological disorders. Among them, the most frequently used parts were flower (24%) and aerial parts (17%), followed by leaves (14%), seeds (14%), fruits (11%), root (8%), gum (6%) and other parts (6%) (Figure 2).

Figure 2.

Figure 2

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The frequency of application of different parts of medicinal plants used for treatment of neuropsychological disorders

The preparations are divided into 4 categories including chewing gum, decoction, infusion, and edible. The most important preparations were infusion (48%) and decoction (44%), followed by edible (6%), and chewing gum (2%) (Figure 3).

Figure 3.

Figure 3

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Frequency of different preparations of medicinal plants used for treatment of neuropsychological disorders. Quantitative analysis of data

Family importance value (FIV)

The most common family of medicinal plant species, based on the number of species and FIV index, was Lamiaceae (12 species with FVI 35.29) followed by Asteraceae (5 species with FVI 14.70 FIV), Apiaceae and Malvaceae (3 species with FVI 8.82 FIV), and Anacardiaceae, Fabaceae, Papaveraceae, Rosaceae, Rutaceae and Salicaceae (2 species with FVI 5.88 for each). The other families had lower number of species and (1 species with FVI 2.94), (Figures 1 and 4).

Figure 4.

Figure 4

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Family importance value (FIV) of medicinal plants used for treatment of neuropsychological disorders

Use report (UR), frequency of citation (FC) and relative frequency of citation (RFC)

Echium amoenum and Melissa officinalis (FC 24 for both) had the maximum citation in this study (Table 2).

Stachys turcomanica Trautv (UR 8), Tripleurospermum disciforme (C.A.Mey.) Sch.Bip. (UR 6), Melissa officinalis L. (UR 6), Nardostachys jatamansii (D. Don) DC. (UR 6), Aloysia citriodora Palau. (UR 6) had the highest use report (UR) (Table 2 and Figure 5).

Figure 5.

Figure 5

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Use report for medicinal plants applied for treatment of neuropsychological disorders

Highest RFC was calculated for Echium amoenum and Melissa officinalis (0.7 for both) followed by Tripleurospermum disciforme (C.A.Mey.) Sch.Bip. (0.64) and the least RFC was calculated for Vaccinium arctostaphylos L. (0.02) (Table 2 and Figure 6).

Figure 6.

Figure 6

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Plant species with highest and lowest RFC

Effects of traditional treatment and its number

The highest number of plant species were used as sedative (38 species) followed by Nerve Tonic (22 species). Most of the effects of traditional treatment and its number is shown in Figure 7.

Figure 7.

Figure 7

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Ethnomedicinal uses of medicinal plants along with the number of plants used for each therapeutic purpose

Discussion

In this study, plant species applied for curing neuropsychological disorders, were summerized.

From the 58 medicinal plants species reported in this paper, some were introduced by other researchers. Among them, Citrus aurantiifolia (Christm.) Swingle, Avena sativa L., Panax ginseng C.A.Mey., Hyoscyamus niger L., Humulus lupulus L., Lavandula angustifolia Mill., Melissa officinalis L., Rosmarinus officinalis L., Tilia cordata Mill., Ocimum basilicum L., Stachys lavandulifolia Vahl., Papaver rhoeas L., Cydonia oblonga Mill., Crocus sativus L., Echium amoenum Fisch. & C.A.Mey, Mentha longifolia (L.) Hudson and Fumaria vaillantii Loisel., can be named (Farhadi et al., 2016 ▶; Akhonzadeh and Maleki, 2006 ▶; Calvo and Cavero, 2015 ▶; Saki et al., 2014 ▶; Kantati et al., 2016 ▶; Sahoo, 2018 ▶).

Figures 1 and 4 show that the two families of Lamiaceae and Asteraceae have the highest number of cited species and highest rates of FIV. The dominance of these two families is mainly due to some especial properties such as secondary metabolites. Lamiaceae in Iran with 46 genera and 410 species and subspecies, has a great diversity and distribution. Based on the report presented by Naghibi et al. (2005) ▶, 18% of the species of Lamiaceae are used for medicinal purposes. This order of the most used families is similar to a previously published ethnobotany report of Navarra in north of the Iberian Peninsula (Calvo and Cavero, 2015 ▶). Asteraceae was found as the most abundant family in many previous projects like Saki et al. (2014) ▶. It seems that more plants from Asteraceae family have been used for medicinal purposes in comparison with other plant families because of the presence of a wide range of biologically active compounds which produce medicinal effects and also because Asteraceae is one of the largest families in the plant kingdom (Thomas et al., 2009 ▶).

In this study flower and aerial parts of medicinal plants were found to be the most used parts for treatment of neuropsychological disorders (Figure 2). This observation showed that flowering and aerial parts are the preferential sites of accumulation of biologically active compounds. The use of flowering and aerial parts is recommended for sustainability of plant communities (Sadeghi et al., 2014 ▶). Aerial and flowering parts are active in photosynthesis and metabolite production and are also easily accessible and possibly due to these reasons, they were reported as the most widely used part of plant in different areas of Iran (Ghorbani, 2005 ▶). The results of widespread use of infusion and decoction (Figure 3) agree with those reported by Saki et al. (2014) ▶ and Calva and Cavero (2015) ▶ which showed that decoction and infusion were the most commonly used preparation method. Decoction was the most commonly used method for preparation of medicinal plants made by boiling a specific part in water until up to half reduction of water volume. Infusion is the soaking of medicinal plant part in hot water overnight or during day time. Water is the dominant agent used for preparation of herbal medicines (Sadeghi et al., 2014 ▶).

Table 2 and Figure 6 show Echium amoenum Fisch. & C.A.Mey. and Melissa officinalis L. (FC 24 and RFC 0.7, for both) have the maximum citation in the treatment of neuropsychological disorders. These species had the highest RFC index. Because these plants were mentioned by a large number of informants and RFC directly depends on the number of informants mentioning the use of a specific plant, these species are the most recognized plant in the market ofBojnord. Akhonzadeh and Maleki (2006) ▶ and Farhadi et al. (2016) ▶ reported that these species improve neuropsychological disorders. The highest use reports were found for Stachys turcomanica Trautv (8 UR). It was impossible to compare the quantitative data from the market of Bojnord with those of other markets of North Khorasan Province about medicinal plants used for treatment of neuropsychological disorders, as the present study is the first quantitative ethnobotanical report in the market of the region; nationwide, few quantitative works have been done in this regard (Eslami and Khodavari, 2016 ▶; Akhonzadeh and Maleki, 2006 ▶; Saki et al., 2014 ▶).

In this survey, most of plants (38 species) were consumed as sedative agents (Figure 7). Saki et al. (2014) ▶ investigated the medicinal plants used for psychiatric and neurological disorders in Urmia, northwest of Iran. They detected 21 species and showed that most of plants were used as a tranquilizer.

Based on the available information, the presence of 58 medicinal plants used for treatment of neuropsychological disorders, in the markets of Bojnord and 57 medicinal plant species in adjacent markets of Mashhad, the Venn diagram is drawn (Figure 8) which shows all medicinal plants used for treatment of neuropsychological disorders in these two regions. These 2 regions, shared 32 common species.

Figure 8.

Figure 8

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Venn diagram showing the number of medicinal plants used for treatment of neuropsychological disorders in two adjacent cities in northeast of Iran, M.B: the market of Bojnord, M.M: the market of Mashhad

The present research is the first one done in the markets of Bojnord to assess plants used against neurological and mental disorders. The present study revealed that the area has a variety of medicinal plants and these plants are still commonly used for medicinal purposes by the local inhabitants. However, the new generation is less aware of traditional uses of these plants. Thus, it is important to document and reconstitute the remainders of the ancient medical practices which exist in the area and other parts of Iran, and preserve this knowledge for future generations. The results indicate that traditional healers used 58 species of medicinal plants to cure neuropsychological disorders. Numerous ethnobotanical studies suggest that these medicinal plants have proven to be effective for neurological and mental disorders. It appears that most cited plants are worth more precise evaluation for their pharmacological activities. This study also provided basis for conservation of the medicinal plants.

Iran, with a great experience in using traditional medicinal plants, is an important country in this field and has a growing potential in preparation, production, and export of pharmaceutical plants (Eslami and Khodavari, 2016 ▶)

Acknowledgment

We are really thankful to the traditional healers of Bojnord for their hospitality and kindness in sharing their indigenous knowledge. This work was supported by Payame Noor University and we appreciate this support.

Conflicts of interest

The authors have no conflict of interest to declare.

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