Use of medicinal plants for headache,and their potential implication in medication-overuse headache: Evidence from a population-based study in Nepal

Abstract

Background

In Nepal, traditional treatment using medicinal plants is popular. Whereas medication-overuse headache is, by definition, caused by excessive use of acute headache medication, we hypothesized that medicinal plants, being pharmacologically active, were as likely a cause.

Methods

We used data from a cross-sectional, nationwide population-based study, which enquired into headache and use of medicinal plants and allopathic medications. We searched the literature for pharmacodynamic actions of the medicinal plants.

Results

Of 2100 participants, 1794 (85.4%) reported headache in the preceding year; 161 (7.7%) reported headache on ≥15 days/month, of whom 28 (17.4%) had used medicinal plants and 117 (72.7%) allopathic medication(s). Of 46 with probable medication-overuse headache, 87.0% (40/46) were using allopathic medication(s) and 13.0% (6/46) medicinal plants, a ratio of 6.7:1, higher than the overall ratio among those with headache of 4.9:1 (912/185). Of 60 plant species identified, 49 were pharmacodynamically active on the central nervous system, with various effects of likely relevance in medication-overuse headache causation.

Conclusions

MPs are potentially a cause of medication-overuse headache, and not to be seen as innocent in this regard. Numbers presumptively affected in Nepal are low but not negligible. This pioneering project provides a starting point for further research to provide needed guidance on use of medicinal plants for headache.

Keywords

Herbal medications pharmacodynamic activity overuse South-East Asia region Global Campaign against Headache

Background

It has been assumed that medication-overuse headache (MOH) is less of a problem in highly rural poor countries because of the lack of access to pharmaceuticals (1). However, in a large epidemiological study in Nepal, the prevalence of probable MOH (pMOH, defined as the association of headache on ≥15 days/month with overuse of acute medication) was higher than reported in Europe (2,3).

In such countries, there is often strong reliance on alternative and complementary practitioners, and the use of plants for medicinal purposes is common (4,5). If these medicinal plants (MPs) have properties that make them active against acute headache, might their overuse also generate MOH? Studies to answer this are lacking, but the question is of interest also in the Western world, where the use of MPs is increasing (6), with a widespread belief that they are “harmless remedies without side effects” (7). At the same time, MOH is the type of headache associated with the highest cost per person in Europe (8).

In a pioneering project, we used data from a large population-based survey from Nepal to test the hypothesis: “Medicinal plants, being pharmacologically active, are as likely as other medications to cause MOH”. Our public-health objectives were:

to establish the proportion of Nepalese adults using MPs against headache

to assess the associations of such usage with demographic factors and disease attributes (symptom burden)

to identify the MPs used

to make a systematic listing of their pharmacological effects on the CNS

to ascertain whether and to what extent they might be implicated in MOH causation

Methods

Design of the epidemiological study

This methodology has been described in detail previously (9). In summary, in a cross-sectional, population-based survey, trained health workers visited 2210 households selected randomly from 15 representative districts out of 75 in Nepal (2,9,10). One adult was randomly selected from each household, with 2100 agreeing to participate in a structured interview. The participation proportion was > 99% (2). All data were collected during May 2013.

Instruments

The structured Headache-Attributed Restriction, Disability, Social Handicap and Impaired Participation (HARDSHIP) questionnaire was culturally adapted and translated into Nepali (9). HARDSHIP included demographic factors (age, gender, household consumption and altitude and urbanicity of dwelling) as well as indices of symptom burden (headache frequency, duration and intensity) and use of allopathic medication(s). Queries concerning MPs were added (2): Participants were asked whether they had used any herbal therapies specifically to relieve headache (not taken regularly to prevent headache), their names, if so, and on how many days they had been used during the preceding month.

Diagnosis

We specifically identified participants who reported headache on ≥15 days/month, and, among these, any who were using medications and/or MPs for acute headache. We diagnosed overuse in those who reported: a) Use on ≥15 days/month of either one type of MP or simple analgesics only; or b) use on ≥10 days/month of (i) more than one type of MP; (ii) any other acute medication (such as opioids, ergots or triptans); (iii) a combination of analgesics in different classes or of analgesics with other medications; or (iv) a combination of MPs and analgesics (2).

Migraine or tension-type headache (TTH) were diagnosed according to ICHD-3 beta criteria (11) in those with headache on < 15 days/month. Further information on the methodology has been published elsewhere (2).

Plant identification

Two Nepalese botanists living in Norway were consulted to correct any local plant names that were misspelled in the data and to identify the genus and species of each plant from its local name(s) and description. Synonyms were searched for at www.efloras.org (12).

Literature search

We searched Micromedex and PubMed for reports of any pharmacological effects of the MPs on the CNS. Each plant’s botanical name was used as a search term, with the Medical Subject Heading (MeSH) term “central nervous system” added in the PubMed search. When there were fewer than three matches with the additional search term, only the plant name was used. In cases where we only had the plant-genus, “species” was added as a third search term in cases where there were >150 matches. We also looked for the plants in the encyclopaedia Plants and people of Nepal (13). When the plant names identified by the botanists gave no or few (<3) results, synonyms were searched for. We also looked for potential information sources in the reference lists of relevant articles.

We separated the potential effects of the plants on the CNS into (a) antioxidative effects, (b) anti-inflammatory or immunological effects (anti-inflammatory, pro-inflammatory, immunosuppressive, immunomodulatory effects, or influences on nitric oxide/inducible nitric oxide synthase), (c) effects on receptors, transmitters or synapses in the CNS, (d) effects on vasculature (constrictor or dilator), and (e) other effects.

Data management and statistical analyses

The outcome variables “use of medicinal plant” and “use of allopathic medications” during the preceding month for treatment of headache were categorised as “yes” or “no” and presented as numbers and percentages. Users of both MPs and allopathic medications were included in both categories. Proportions of participants using MPs or allopathic medications, with 95% confidence intervals (CIs), were estimated for any headache, migraine and headache on ≥15 days/month. The independent variable “age” was categorized into five groups (18–25, 26–35, 36–45, 46–55 and 56–65 years). Household consumption per year in United States dollars (USD) (at the time of study: 1 USD ≈ 100 Nepalese rupees) was used as an indicator of participants’ economic status, and categorized into three groups: Poorest (<950 USD/year), poor (950–1200 USD/year), and intermediate and above (>1200 USD/year). This gave the best split in numbers, while taking some account of Nepal’s absolute poverty line (nationally, USD 225 for an individual in 2013, but varying between locations; in Kathmandu, it was USD471 (14)). Our measure of consumption was based on households rather than individuals, and therefore set at a higher level. Dwelling was categorized as urban or rural, and altitude as low (<1000 m) or high (≥1000 m).

The symptom burden of headache was measured by frequency (headache days/month [d/m]), attack duration (hours) and headache intensity. While the first two of these were collected as continuous data, we categorized them so as to yield the best split in numbers between the categories. Thus frequency was categorized into four groups for any headache (<1, 1–2, 3–14 and ≥15 d/m), three for migraine (<1, 1–2 and 3–14 d/m) and two for headache on ≥15 d/m (15–20 and > 20 d/m). Duration was categorized into three groups: For any headache and migraine as < 4, 4–12 and > 12 hours, and for headache on ≥15 d/m as < 48, 48–144 and > 144 hours. We calculated proportion of time in ictal state (pTIS; %) from frequency and mean headache duration, and categorized it, again to give the best split in numbers, into four groups (<1, 1–3, 3.1–10 and > 10%) for any headache and migraine, and three groups (<60, 60–80 and > 80%) for headache on ≥15 days/month. Intensity was categorized as “not bad”, “quite bad” and “very bad” (equating to “mild”, “moderate” and “severe”).

We used bivariate and multivariate logistic regression analyses (with odds ratios [OR] and adjusted odds ratios [AOR], each with 95% CIs) to investigate the associations of plant or medication use on the one hand, in all headache, migraine and headache on ≥15 days/month, and demographic variables and indices of headache burden on the other. These variables were entered as covariates in the multivariate logistic regression analyses, although, for frequency and duration, pTIS was excluded, and, for pTIS, frequency and duration were excluded.

In view of the number of analyses, we considered p < 0.02 to be statistically significant. Two-tailed p-values were calculated. All data were analysed with SPSS 21.0 software (IBM Corp, Armonk, NY, USA).

Results

Participants

A total of 2100 adults aged 18–65 years were included in the nationwide study; their sociodemographic characteristics have been presented previously (206). Here are analyzed data of 1794 participants (85.4%) who reported headache during the preceding year. Their mean age was 36.1 ± 12.6 years, and male/female ratio was 1:1.6.

Use and overuse of medicinal plants and allopathic medications

Of these 1794 participants, 185 (10.3%) also reported use of MP(s) for headache at least once in the preceding month, while 912 (50.8%) had used allopathic medication(s) (Table 1). Each was more likely to be used by those with headache types expected to be more troublesome. Thus, of the 728 with migraine, 85 (11.7%) had used MP(s) and 423 (58.1%) had used allopathic medication(s) (Table 2). Of the 161 participants reporting headache on ≥15 days/month, 28 (17.4%) had used MP(s) and 117 (72.7%) had used allopathic medication(s) (Table 3). We did not separately analyse those with TTH.

Table 1.

Use of medicinal plants and allopathic medication at least once in the preceding month among participants with any headache according to demographic factors and symptom burden (N = 1794).

Variable	N	Medicinal plants					Allopathic medication
		n (%)	Bivariate analyses		Ethnobotany in theNepal Himalaya.Multivariate analyses		n (%)	Bivariate analyses		Multivariate analyses
		n (%)	OR (95% CI)	p	AOR* (95% CI)	p	n (%)	OR (95% CI)	p	AOR* (95% CI)	p
Yes	1794	185 (10.3)	–	–	–	–	912 (50.8)	–	–	–	–
Age (in years)
18–25	426	28 (6.6)	Reference	–	Reference	–	205 (48.1)	Reference	–	Reference	–
26–35	581	58 (10.0)	1.6 (0.9–2.5)	0.057	1.6 (0.9–2.6)	0.055	307 (52.8)	1.2 (0.9–1.6)	0.14	1.2 (0.9–1.6)	0.20
36–45	358	46 (12.8)	2.1 (1.3–3.4)	0.003	2.0 (1.2–3.6)	0.006	173 (48.3)	1.0 (0.8–1.3)	0.96	0.9 (0.7–1.3)	0.58
46–55	258	30 (11.6)	1.9 (1.1–3.2)	0.023	1.6 (0.9–2.9)	0.078	138 (53.5)	1.2 (0.9–1.7)	0.17	1.2 (0.8–1.7)	0.34
56–65	171	23 (13.5)	2.2 (1.2–3.9)	0.008	1.9 (1.1–3.5)	0.037	89 (52.0)	1.2 (0.8–1.7)	0.34	1.0 (0.7–1.4)	0.91
Gender
Male	689	82 (11.9)	Reference	–	Reference	–	306 (44.4)	Reference	–	Reference	–
Female	1105	103 (9.3)	0.8 (0.6–1.1)	0.081	0.8 (0.6-1.1)	0.11	606 (54.8)	1.5 (1.31.8)	< 0.001	1.3 (1.1–1.6)	0.014
Household consumption (USD/year)
950–1200	687	70 (10.2)	Reference	–	Reference	–	347 (50.5)	Reference	–	Reference	–
<950	686	76 (11.1)	1.1 (0.8–1.5)	0.60	0.9 (0.6–1.3)	0.67	355 (51.7)	1.1 (0.9–1.3)	0.65	1.0 (0.8–1.3)	0.97
>1200	421	39 (9.3)	0.9 (0.6–1.4)	0.62	0.9 (0.6–1.4)	0.70	210 (49.9)	1.0 (0.8–1.2)	0.85	1.1 (0.8–1.4)	0.71
Dwelling
Urban	686	36 (5.2)	Reference	–	Reference	–	299 (43.6)	Reference	–	Reference	–
Rural	1108	149 (13.4)	2.8 (1.9–4.1)	<0.001	2.6 (1.8–3.9)	<0.001	613 (55.3)	1.6 (1.3–1.9)	<0.001	1.7 (1.4–2.1)	<0.001
Household altitude
<1000 m	845	63 (7.5)	Reference	–	Reference	–	393 (46.5)	Reference	–	Reference	–
≥1000 m	949	122 (12.9)	1.8 (1.3–2.5)	<0.001	1.5 (1.1–2.2)	0.015	519 (54.7)	1.4 (1.2–1.7)	0.001	1.1 (0.9–1.4)	0.34
Headache burden indices
Frequency (days/month)
<1	626	46 (7.3)	Reference	–	Reference	–	203 (32.4)	Reference	–	Reference	–
1–2	531	61 (11.5)	1.6 (1.1–2.4)	0.016	1.5 (0.9–2.4)	0.082	285 (53.7)	2.4 (1.9–3.1)	<0.001	1.8 (1.3–2.3)	<0.001
3–14	478	50 (10.5)	1.5 (0.9–2.3)	0.067	1.2 (0.7–2.0)	0.49	307 (64.5)	3.8 (2.9–4.9)	<0.001	2.1 (1.6–2.9)	<0.001
≥15	161	28 (17.4)	2.7 (1.6–4.4)	<0.001	2.0 (1.1–3.8)	0.015	117 (72.7)	5.5 (3.8–8.1)	<0.001	2.3 (1.5–3.7)	<0.001
Duration (in hours)
<4	590	43 (7.3)	Reference	–	Reference	–	183 (31.0)	Reference	–	Reference	–
4–12	466	47 (10.1)	1.4 (0.9–2.2)	0.11	1.2 (0.7–2.1)	0.50	227 (48.7)	2.1 (1.6–2.7)	<0.001	1.6 (1.2–2.1)	0.001
>12	738	95 (12.9)	1.9 (1.3–2.7)	0.001	2.2 (0.9–5.4)	0.080	502 (68.0)	4.7 (3.7–6.0)	<0.001	2.5 (1.8–3.4)	<0.001
Intensity
Not bad	373	32 (8.6)	Reference	–	Reference	–	130 (34.9)	Reference	–	Reference	–
Quite bad	901	83 (9.2)	1.1 (0.7–1.7)	0.72	0.9 (0.6–1.4)	0.68	451 (50.1)	1.9 (1.5–2.4)	<0.001	1.3 (1.1–1.7)	0.047
Very bad	520	70 (13.5)	1.7 (1.1–2.6)	0.025	1.1 (0.7–1.8)	0.76	331 (63.7)	3.3 (2.5–4.3)	<0.001	1.7 (1.3–2.4)	0.001
Proportion (%) of time in ictal state
<1	785	58 (7.4)	Reference	–	Reference	–	264 (33.6)	Reference	–	Reference	–
1–3	219	27 (12.3)	1.8 (1.1–2.9)	0.022	1.8 (1.1–3.0)	0.021	118 (53.9)	2.3 (1.7–3.1)	<0.001	2.2 (1.6–3.0)	<0.001
3.1–10	403	49 (12.2)	1.7 (1.2–2.6)	0.007	1.7 (1.1–2.7)	0.013	252 (62.5)	3.3 (2.6–4.2)	<0.001	3.0 (2.3–3.9)	<0.001
>10	387	51 (13.2)	1.9 (1.3–2.8)	0.002	2.0 (1.3–30)	0.002	278 (71.8)	5.0 (3.3–6.6)	<0.001	4.4 (3.3–5.9)	<0.001

AOR: adjusted odds ratio: OR: odds ratio; CI: confidence interval. N = total number within subsample; n = number within subsample responding positively.

Adjusted for age, gender, household consumption, dwelling, altitude, headache frequency (F), attack duration (D), intensity and proportion of time in ictal state (pTIS) (for F and D, pTIS was excluded; for pTIS, F and D were excluded). p-values are two-tailed, and emboldened when significant (<0.02).

Table 2.

Use of medicinal plants and allopathic medication at least once in the preceding month among participants with migraine according to demographic factors and symptom burden (n = 728).

Variable	N	Medicinal plants					Allopathic medication
		n (%)	Bivariate analyses		Multivariate analyses		n (%)	Bivariate analyses		Multivariate analyses
		n (%)	OR (95% CI)	p	AOR* (95% CI)	p		OR (95% CI)	p	AOR* (95% CI)	p
Yes	728	85 (11.7)	–	–	–	–	423 (58.1)	–	–	–	–
Age (in years)
18–25	153	9 (5.9)	Reference	–	Reference	–	88 (57.5)	Reference	–	Reference	–
26–35	241	29 (12.0)	2.2 (1.1–4.8)	0.048	2.1 (1.0–4.8)	0.063	143 (59.3)	1.1(0.7–1.6)	0.72	1.1 (0.7–1.8)	0.57
36–45	158	22 (13.9)	2.6 (1.2–5.8)	0.021	2.8 (1.2–6.6)	0.014	87 (55.1)	0.9 (0.6–1.4)	0.66	0.9 (0.6–1.5)	0.73
46–55	101	16 (15.8)	3.0 (1.3–7.1)	0.012	2.8 (1.2–6.8)	0.024	64 (63.4)	1.3 (0.8–2.1)	0.35	1.4 (0.8–2.4)	0.26
56–65	75	9 (12.0)	2.1(0.8–5.7)	0.11	2.0 (0.7–5.5)	0.18	41 (54.7)	0.9 (0.5–1.6)	0.68	0.6 (0.4–1.2)	0.15
Gender
Male	249	35 (14.1)	Reference	–	Reference	–	141 (56.6)	Reference	–	Reference	–
Female	479	50 (10.4)	0.7 (0.5–1.1)	0.15	0.8 (0.5–1.3)	0.36	282 (58.9)	1.1 (0.8–1.5)	0.56	1.0 (0.7–1.4)	0.99
Household consumption (USD/year)
950–1200	277	32 (11.6)	Reference	–	Reference	–	166 (59.9)	Reference	–	Reference	–
<950	289	33 (11.4)	1.0 (0.6–1.7)	0.96	0.8 (0.5–1.4)	0.38	169 (58.5)	1.3 (0.9–1.9)	0.25	0.8 (0.6–1.2)	0.37
>1200	162	20 (12.3)	1.1 (0.6–2.0)	0.80	1.2 (0.6–2.2)	0.63	88 (54.3)	1.2 (0.8–1.8)	0.39	0.8 (0.5–1.2)	0.21
Dwelling
Urban	261	13 (5.0)	Reference	–	Reference	–	135 (51.7)	Reference	–	Reference	–
Rural	467	72 (15.4)	3.5 (1.9–6.4)	<0.001	3.4 (1.8–6.5)	<0.001	288 (61.7)	1.5 (1.1–2.0)	0.009	1.5 (1.1-2.1)	0.021
Household altitude
<1000 m	287	21 (7.3)	Reference	–	Reference	–	145 (50.5)	Reference	–	Reference	–
≥1000 m	441	64 (14.5)	2.2 (1.3–3.6)	0.004	1.9 (1.1–3.2)	0.027	278 (63.0)	1.7 (1.2–2.3)	0.001	1.3 (0.9–1.9)	0.085
Headache burden indices
Frequency (days/month)
<1	235	23 (9.8)	Reference	–	Reference	–	92 (39.1)	Reference	–	Reference	–
1–2	226	31 (13.7)	1.5 (0.8–2.6)	0.19	1.2 (0.6–2.5)	0.62	140 (61.9)	2.5 (1.7–3.7)	<0.001	2.3 (1.5–3.6)	<0.001
3–14	267	31 (11.6)	1.2 (0.7–2.1)	0.51	0.8 (0.4–1.8)	0.58	191 (71.5)	3.9 (2.7–5.7)	<0.001	3.2 (1.9–5.2)	<0.001
Duration (in hours)
<4	148	12 (8.1)	Reference	–	Reference	–	61 (41.2)	Reference	–	Reference	–
4–12	225	26 (11.6)	1.5 (0.7–3.0)	0.28	1.5 (0.7–3.2)	0.35	118 (52.4)	1.6 (1.1–2.4)	0.034	1.2 (0.7–1.8)	0.53
>12	355	47 (13.2)	1.7 (0.9–3.4)	0.11	1.8 (0.7–4.3)	0.20	244 (68.7)	3.1 (2.1–4.7)	<0.001	1.4 (0.8–2.4)	0.23
Intensity
Not bad	60	4 (6.7)	Reference	–	Reference	–	27 (45.0)	Reference	–	Reference	–
Quite bad	354	40 (11.3)	1.8 (0.6–5.2)	0.29	1.5 (0.5–4.5)	0.47	195 (55.1)	1.5 (0.9–2.6)	0.15	1.3 (0.7–2.3)	0.40
Very bad	314	41 (13.1)	2.1 (0.7–6.1)	0.17	1.5 (0.5–4.6)	0.46	201 (64.0)	2.2 (1.2–3.8)	0.006	1.7 (0.9–3.1)	0.094
Proportion (%) of time in ictal state
<1	263	24 (9.1)	Reference	–	Reference	–	111 (42.2)	Reference	–	Reference	–
1–3	83	11 (13.3)	1.5 (0.7–3.3)	0.28	1.5 (0.7–3.2)	0.34	50 (60.2)	2.1 (1.3–3.4)	0.004	2.2 (1.3–3.7)	0.003
3.1–10	248	36 (14.5)	1.7 (1.0–2.9)	0.061	1.6 (0.9–2.9)	0.12	161 (64.9)	2.5 (1.8–3.6)	<0.001	2.4 (1.7–3.5)	<0.001
>10	134	14 (10.4)	1.2 (0.6–2.3)	0.67	1.1 (0.6–2.4)	0.72	101 (75.4)	4.2 (2.6–6.6)	<0.001	4.4 (2.7–7.1)	<0.001

AOR: adjusted odds ratio; OR: odds ratio; CI: confidence interval. N = total number within subsample; n = number within subsample responding positively.

Table 3.

Use of medicinal plants and allopathic medication at least once in the preceding month among participants with headache on ≥ 15 days/month according to demographic factors and symptom burden (n = 161).

Variable	N	Medicinal plants					Allopathic medication
		n (%)	Bivariate analyses		Multivariate analyses		n (%)	Bivariate analyses		Multivariate analyses
		n (%)	OR (95% CI)	p	AOR* (95% CI)	p		OR (95 % CI)	p	AOR* (95% CI)	p
Yes	161	28 (17.4)	–	–	–	–	117 (72.7)	–	–	–	–
Age (in years)
18–25	29	3 (10.3)	Reference	–	Reference	–	17 (58.6)	Reference	–	Reference	–
26–35	51	10 (19.6)	2.1 (0.5–8.4)	0.29	2.4 (0.6–10.6)	0.23	38 (74.5)	2.1 (0.8–5.4)	0.14	1.5 (0.5–4.6)	0.47
36–45	34	9 (26.5)	3.1 (0.8–12.9)	0.12	2.6 (0.6–12.0)	0.21	24 (70.6)	1.7 (0.6–4.8)	0.32	1.4 (0.4–4.5)	0.58
46–55	29	5 (17.2)	1.8 (0.4–8.3)	0.45	2.4 (0.5–12.6)	0.29	22 (75.9)	2.2 (0.7–6.8)	0.17	1.6 (0.5–5.6)	0.47
56–65	18	1 (5.6)	0.5 (0.1–5.3)	0.57	0.6 (0.1–6.7)	0.67	16 (88.9)	5.6 (1.1–29.3)	0.039	7.8 (1.2–50.6)	0.029
Gender
Male	44	10 (22.7)	Reference	–	Reference	–	26 (59.1)	Reference	–	Reference	–
Female	117	18 (15.4)	0.6 (0.3–1.5)	0.28	0.5 (0.2–1.6)	0.25	91 (77.8)	2.4 (1.2–5.1)	0.019	1.8 (0.7–4.7)	0.21
Household consumption (USD/year)
950–1200	59	10 (16.9)	Reference	–	Reference	–	41 (69.5)	Reference	–	Reference	–
<950	59	13 (22.0)	1.4 (0.9–2.2)	0.11	1.2 (0.7–2.1)	0.50	41 (69.5)	1.0 (0.5–2.2)	1.0	1.2 (0.5–2.9)	0.75
>1200	43	5 (11.6)	1.9 (1.3–2.7)	0.001	2.2 (0.9–5.4)	0.080	35 (81.4)	1.9 (0.7–4.9)	0.18	1.9 (0.6–5.8)	0.25
Dwelling
Urban	54	5 (9.3)	Reference	–	Reference	–	42 (77.8)	Reference	–	Reference	–
Rural	107	23 (21.5)	2.7 (0.9–7.5)	0.060	2.1 (0.7–6.5)	0.20	75 (70.1)	0.7 (0.3–1.4)	0.18	0.7 (0.3–1.7)	0.39
Household altitude
<1000 m	69	12 (17.4)	Reference	–	Reference	–	50 (72.5)	Reference	–	Reference	–
≥1000 m	92	16 (17.4)	1.0 (0.4–2.3)	1.0	0.9 (0.3-2.2)	0.74	67 (72.8)	1.1 (0.5-2.1)	0.30	1.2 (0.5–2.6)	0.72
Headache burden indices
Frequency (days/month)
15–20	99	24 (24.2)	Reference	–	Reference	–	73 (73.7)	Reference	–	Reference	–
>20	62	4 (6.5)	0.2 (0.1–0.7)	0.007	0.4 (0.1–1.6)	0.18	44 (71.0)	0.9 (0.4–1.8)	0.70	0.2 (0.1–0.7)	0.010
Duration (in hours)
<48	56	9 (16.1)	Reference	–	Reference	–	31 (55.4)	Reference	–	Reference	–
48–144	50	15 (30.0)	2.2 (0.9–5.7)	0.091	2.6 (0.9–7.5)	0.089	40 (80.0)	3.2 (1.4–7.7)	0.008	2.6 (1.0–6.9)	0.053
>144	55	4 (7.3)	0.4 (0.1–1.4)	0.16	0.9 (0.2–4.6)	0.91	46 (83.6)	4.1 (1.7–10.1)	0.002	8.6 (2.1–34.7)	0.003
Intensity
Not bad/quite bad	62	9 (14.5)	Reference	–	Reference	–	41 (66.1)	Reference	–	Reference	–
Very bad	99	19 (19.2)	1.4 (0.6–3.3)	0.45	1.5 (0.6–4.0)	0.43	76 (76.8)	1.7 (0.8–3.4)	0.14	1.3 (0.6–3.1)	0.49
Proportion (%) of time in ictal state
<60	64	14 (21.9)	Reference	–	Reference	–	46 (71.9)	Reference	–	Reference	–
60–80	45	11 (24.4)	1.2 (0.5–2.8)	0.75	1.3 (0.5–3.4)	0.61	30 (66.7)	0.8 (0.3–1.8)	0.56	0.7 (0.3–1.7)	0.68
>80	52	3 (5.8)	0.2 (0.1–0.8)	0.023	0.2 (0.1–0.9)	0.041	41 (78.8)	1.5 (0.6–3.5)	0.39	0.8 (0.3–2.2)	0.71

AOR: adjusted odds ratio: OR: odds ratio; CI: confidence interval. N = total number within subsample; n = number within subsample responding positively.

Of the 117 participants with headache on ≥15 days/month and using allopathic medication(s), 40 (34.2%) met our criteria for overuse. Of the 28 with headache on ≥15 days/month and using MP(s), six (21.4%) met our criteria for overuse. Three of these also reported use of allopathic medication(s), one on 15 days/month and therefore meeting our criteria for overuse of these also.

Plant identification

From the 73 local plant names reported, the botanists were able to identify or partially identify 45 plants (61.6%) and unable to identify 28. Of the 45, five were identified only by their genera, three were given only probable identities, and one was only partly identified (Herbal products Vicks). The identities of two others ‒ “banphool” and “ketaki” ‒ were not confirmed by the botanists but, in the views of the two Nepalese authors (AR and KM), very likely nonetheless, and accepted since these were relevant to the hypothesis; therefore, 47 local plant names (64.4%) in total were at least partially identified.

Four of the local plant names were applied to mixtures of different species, two were identified with more than one probable botanical name, two were used for more than one species and two for the same species as two others. Zandu balm was an exception, since this was found to contain both exact species and a mix of different species in a genus. Taken together, there were 60 species (four of them uncertain because of uncertain identifications by the botanists and six without definite confirmation by the botanists) and five genera identified from the 47 local plant names.

Literature search

We reviewed 191 publications or encyclopaedias in the literature search. Of the 60 species, 49 were identified pharmacodynamically. Of the five genera, only two were identified pharmacodynamically since there were few studies on the genera as a whole. We found only one randomized controlled trial (RCT) relevant to use for headache, which was of low quality. No meta-analyses were found. The remainder of the studies found were animal, in vitro, or case studies (Table 4).

Table 4.

Medicinal plants used for headache, with their botanical names (local names in parenthesis), pharmacodynamic properties and reported adverse events.

Formulation	Used for headache (source and level of evidence (15))	Assumed pharmacodynamic mechanisms on CNS	Reported adverse events on CNS (serious: SAEs [including death]; non-serious: NSAEs)
Abelmoschus moschatus Medik* (component of Navaratna oil)
Topical (13)	No data	Antioxidative (16)
Abrus precatorius L. (Rato gerdi)
Oral/topical (13)	(Level V) (15)	Immunostimulating (17); receptors (17)	SAEs: Death (18 –20); coma (18,19); seizures (18) NSAEs: Fever, reduced mental status (18)
Aconitum ferox Wall. Ex. Ser. (Bikma herbal)
Oral/topical (13,18,21)	No data	Other (18,22 –26); Receptors (27,28)	SAEs: Death, paralysis (18); muscular fasciculations, tonic-clonic seizures (18,25) NSAEs: Paresthesias, pain, severe headache, restlessness, apprehension, confusion, incoordination, miosis, mydriasis, diplopia, blurred vision, yellow-green vision (18)
Acorus calamus L. (Bojo)
Oral/parenteral/topical (13,18)	(Level V) (18)	Other (29,30)	SAEs: None reported (18) NSAEs: None reported (18)
Allium sativum L.*** (Garlic)
Oral/topical (13,18)	(Level V) (31)	Antioxidative (18,32 –35); anti-inflammatory (36 –38); receptors (33,35); other (31,39); antiapoptotic (35,36)	SAEs: None reported on CNS (18) NSAEs: Headache, fatigue, vertigo (18)
Allium wallichii Kunth*** (Garlic)
Oral (13)	No data	Antioxidative (40)	No data
Aloe vera L. Burm. f. (Aloe vera herbal)
Oral/topical (13,18,41)	No data	Antioxidative (42 –45); anti-inflammatory (18,43,46); other (42,47)	SAEs: none reported (18,41) NSAEs: none reported (18,41)
Artemisia indica Willd. (Titepati leaves)
Oral/topical (13)	(Level V) (48)	Antioxidative (49); immunostimulating (50); receptors (51)	No data
Azadirachta indica A. Juss. (Neem leaves)
Oral/topical (13,18)	(Level V) (13)	Antioxidative (52); anti-inflammatory (53,54); receptors (55); antiapoptotic (52,53)	SAEs: Death, Reye-like syndrome, altered consciousness, seizures, decreased responsiveness (18) NSAEs: Lethargy (18)
Brassica napus L. (Mustard paste)
No data	No data	No data	No data
Calotropis gigantea L. Dryand (Aank)
Inhaled/oral/topical (13)	No data	Receptors (56)	No data
Centella asiatica L. Urb. (Gortapre)
Oral/parenteral/topical (13,18)	(Level V) (13)	Antioxidative (57 –61); anti-inflammatory (18,62); receptors (63 –66); antiapoptotic (62)	No data
Cheilanthes albomarginata C.B. Clarke (Rani sini herbal)
Oral/topical (13)	No data	Antioxidative (67); anti-inflammatory (67)	No data
Colebrookea oppositifolia Sm. (Dursur)
Intranasal/oral/parenteral/topical (13)	(Level V) (13)	Receptors (68)	No data
Curcuma longa L. (Turmeric herbal)
Oral/Parenteral (18)	No data	Antioxidative (18,69 –72); anti-inflammatory (18,69 –71,73 –77); receptors (78 –81); other (69,82 –85); vascular (77)	SAEs: None reported (18,41,86) NSAEs: None reported (5,41,86)
Curcuma zedoaria (Christm.) Roscoe* (component of Navaratna oil)
No data	No data	Antioxidative (87)	No data
Cymbopogon pendulus (Nees ex Steud.) W. Watson (Lemon grass)
No data	No data	No data	No data
Cyperus rotundus L.* (component of Navaratna oil)
Oral (13)	No data	Antioxidative (88,89); anti-inflammatory (89,90); receptors (91,92); other (93); antiapoptotic (89)	No data
Eclipta prostrata L.* (component of Navaratna oil)
Oral/topical (13)	No data	Antioxidative (94); receptors (94); other (95)	No data
Elettaria cardamomum L. (Aalainch)
Oral (18,41)	No data	Antioxidative (18,96); anti-inflammatory (97,98); other (99)	SAEs: None reported (18) NSAEs: None reported (18)
Eucalyptus globulus Labill.* (component of Zandu balm, from “Herbal products Vick”)
Oral/parenteral/topical (18,41)	No data	Antioxidative (18); anti-inflammatory (18); receptors (100)	SAEs: Loss of consciousness, hypoventilation, convulsions (101,102) NSAEs: Ataxia, CNS depression (101)
Gaultheria fragrantissima Wall.* (component of Zandu balm, from “Herbal products Vick”)
Topical (48)	(Level V) (48)	Antioxidative (103,104)	No data
Helianthus annuus L. (Sunflower)
No data	No data	Antioxidative (105); anti-inflammatory (105)	No data
Hibiscus rosa-sinensis L.* (component of Navaratna oil)
Oral/topical (13)	No data	Antioxidative (106); receptors (107)	No data
Hordeum vulgare L.* (Jamara)
Oral/topical (18)	No data	Antioxidative (18); other (108)	SAEs: None reported (18) NSAEs: None reported (18)
Inula cappa (Buch.-Ham. ex D.Don) DC. (Dwareko jaro)
Oral/topical (13)	(Level V) (2)	Anti-inflammatory (109,110)	No data
Lilium polyphyllum D. Don* (component of Navaratna oil)
No data	No data	No data	No data
Lygodium japonicum (Thumb.) Sw.** (Pinase)
Topical (13)	No data	Anti-inflammatory (111)	No data
Lysimachia alternifolia Wall.** (Pinase)
Inhaled (13)	No data	No data	No data
Mentha arvensis L.* (component of Navaratna oil)
Intranasal/oral/topical (18,41)	No data	Antioxidative (112,113); anti-inflammatory (113,114); receptors (113,115,116); other (114)	SAEs: None reported (41) NSAEs: None reported (41)
Mentha spicata L. (Menthol oil)
Oral (13)	No data	Oxidative (110)	No data
Micromeria biflora (Buch.-Ham. Ex. D. Don) Benth.** (Pinase)
Inhaled/oral/topical (13)	No data	No data	No data
Myrica esculenta Buch.-Ham. Ex. D. Don (Kafal ko bokra)
Oral/topical (13,18)	(Level V) (13)	Antioxidative (117); anti-inflammatory (118)	No data
(Neo)picrorhiza scrophulariiflora (Pennel) D.Y. Hong (Kurki)
Oral/topical (13)	No data	No data	No data
Nyctanthes arbor-tristis L. (Parijaat leaves)
Oral/topical (13)	No data	Antioxidative (119); immunostimulating (120 –122); anti-inflammatory (123); other (124)	No data
Ocimum tenuiflorum L. (Tulsi leaves/Kapoor*, ingredient in Banphool oil [translation not approved by botanists])
Oral/topical (13,48)	(Level V) (48)	Antioxidative (125); anti-inflammatory (18); receptors (126 –129)	No data
Ophiocordyceps sinensis (Berk.) G.H. Sung, J.M. Sung, Hywel-Jones & Spatafora (mushroom) (Yarsagumba)
No data	No data	Antioxidative (130,131); anti-inflammatory (132); immunostimulating (132); other (132)	No data
Parmelia perlata* (Huds.) Ach. (component of Navaratna oil)
No data	No data	No data	No data
Phyllanthus emblica L.* (component of Navaratna oil/Aamla, which is also a component of Banphool oil), and in monotherapy
Oral (13)	No data	Antioxidative (133 –137); anti-inflammatory (135 –137); receptors (138); other (135,137,138)	No data
Plumbago zeylanica L. (Chitu)
Oral/topical (13)	No data	Anti-inflammatory (139,140); receptors (141)	No data
Rubus ellipticus Sm. (Ainselu root)
Oral/topical (13,18)	No data	Antioxidative (142,143)	No data
Swertia angustifolia Buch.-Ham. Ex D. Don** (Chiraito)
Oral (13)	No data	No data	No data
Swertia chirayita Buch.-Ham. ex D. Don** (Chiraito)
Oral/topical (13)	(Level V) (13), (Level V) (144)	Antioxidative (145); anti-inflammatory (146,147)	SAEs: None reported (144) NSAEs: No data
Syzygium nervosum A Cunn, ex DC. (Kyamuna ko munto)
No data	No data	Antioxidative (148)	No data
Terminalia chebula Retz. (Harro)
Oral/topical (13)	No data	Antioxidative (149,150); other (150)	No data
Triticum aestivum L.* (Jamara)
Topical (18)	No data	Receptors (151)	SAEs: No data NSAEs: Transformation of episodic into daily headache (152)
Vitex negundo L. (Simali)
Inhaled/oral/topical (13)	(Level V) (13)	Antioxidative (153,154); anti-inflammatory (154,155); receptors (155)	No data
Zanthoxylum armatum DC. (Timur)
Oral/topical (13)	No data	Antioxidative (156,157); anti-inflammatory (158,159)	No data
Zea mays L.* (Jamara)
No data	No data	Antioxidative, antiapoptotic (160)	No data
Zingiber officinale Roscoe (Ginger)
Oral/topical (13,41)	(level V) (18); (level IIb) (161) (RCT)	Antioxidative (162,163); anti-inflammatory (162,164 –168); receptors (169 –171); other (172)	SAEs: None on CNS (161) (RCT) NSAEs: None on CNS (161) (RCT)
Genera with uncertain translations
Ageratum sp. (Bherapate herbal)
No data	No data	No data	No data
Cotoneaster sp. (Ghareko jaro or Ghare herbal)
No data	No data	No data	No data
Hedyotis sp. (Nimaniko jadhibuti)
No data	No data	No data	No data
Mentha sp. L.* (component of Zandu balm from “Herbal products Vick”/Satva Pudina*; component of Banphool oil [translation not approved by botanists])
No data	No data	Anti-inflammatory (173); receptors (173)	SAEs: Coma (18) NSAEs: Ataxia, confusion, vertigo, CNS depression (18)
Piper sp. (Pepper)
No data	No data	Anti-inflammatory (174)
Species with uncertain translations
Asparagus racemosus Willd.*** (Satawari [participants called it Sartawa])
Oral (13,18)	No data	Antioxidative (175,176); receptors (176 –179)	SAEs: None reported (18) NSAEs: None reported (18)
Ipomoea carnea Jacq. (Ajamari jhar [participants called it Ajawane])
Topical (13)	No data	Antioxidative (180); anti-inflammatory (180); other (180)	No data.
Justicia adhatoda L. (Asurako or Asuro)
Oral/topical (13)	No data	No data	No data
Paris polyphylla Sm.***(Satuwa [participants called it Sartawa])
Oral/topical (13)	No data	No data	No data
Translations not approved by the botanists
Convolvulus pluricaulis Choisy* (181) (component of Banphool oil (182))
No data	No data	Antioxidative (183,184); receptors (185,186); other (184,187 –190)	No data
Nardostachys grandiflora D.C.* (181) (component of Banphool oil (182))
No data	No data	No data	No data
Pandanus fascicularis Lam. (181) (Ketaki (191))
No data	No data	Antiinflammatory (192)	No data
Santalum album L.* (181) (component of Banphool oil (182))
No data	No data	Other (193)	SAEs: CNS depression, seizures, coma (18) NSAEs: None reported (18)
Syzygium aromaticum L. Merrill & Perry* (component of Banphool oil (182))
Oral/topical (18)	(Level V) (208)	Antioxidative (194,195); anti-inflammatory (18); receptors (196); other (197,198)	SAEs: Coma, seizures (199) NSAEs: Slight CNS depression (200)
Terminalia bellirica (Gaertn.) Roxb.* (181) (Barro (181), component of Banphool oil (182))
No data	No data	Antioxidative (201,202); anti-inflammatory (203,204); receptors (205)	No data
Formulation	Used for headache (level of evidence (15))	Assumed pharmacodynamic mechanisms on CNS	Reported adverse events (AEs) on CNS, or death

NSAEs: non-serious adverse events; RCT: randomised controlled trial; SAEs: serious adverse events.

Not in monotherapy.

Two or more different species have same local name.

***

More than one possible botanical name.

Of the 60 species, 37 (61.7%) were shown in the literature to have antioxidative effects, 27 (45.0%) to have anti-inflammatory or immunosuppressive effects, and 23 (38.3%) to have effects on receptors, transmitters or synapses in the CNS (Table 4). Of the five genera, two were shown to have anti-inflammatory or immunosuppressive effects and one to have effects on receptors, transmitters or synapses in the CNS (Table 4). Fifteen species (25.0%) were mentioned in the literature as used against headache (Table 4). Serious adverse events (SAEs) affecting the CNS or resulting in death were reported for seven species (coma, loss of consciousness, seizures, paralyses, death) (Table 4). In addition, Allium sativum L. (garlic) has been shown to have anticoagulant properties resulting in bleeding (18). Respiratory and cardiac arrest have also been reported after ingestion of Azadirachta indica A. Juss (18), as has disseminated intravascular coagulopathy after ingestion of Syzygium aromaticum (L) Merrill & Perry (199).

Systemic bioavailability is implied by these pharmacodynamic properties. This is a key issue. We did not collect data on routes of administration to avoid overloading the already-long enquiry. While the literature indicates that many preparations of these MPs would be applied topically, others are taken orally and some are prepared for inhalation. Table 4 lists only the routes of administration potentially relevant to MOH causation.

Associations according to headache type

Any headache

We found somewhat greater use of allopathic medications (AOR 1.3), but not of MPs, among females than males (Table 1). There were no clear associations with age or household consumption.

Higher proportions of participants with any headache used MPs (AOR 2.6) and allopathic medications (AOR 1.7) in rural areas than urban (Table 1). Associations with high altitude, apparent in bivariate analysis, lost significance in multivariate analysis.

Increasing headache frequency (from 1 to ≥15 days/month) was clearly associated with increasingly probable use of allopathic medication(s) (from 32.4% to 72.7%, a factor of 2.2; AOR 1.8–2.3), but, for MPs, this was so only for frequency ≥15 days/month (from 7.3% to 17.4%, a factor of 2.4; AOR 2.0; Table 1). Long-duration (AOR 2.5) and severe headache (AOR 1.7) were each associated with increased use of allopathic medication(s), but not (in multivariate analyses) of MPs (Table 1). Participants with pTIS ≥1% were more likely to have used allopathic medication(s) (AOR 2.2–4.4); a similar trend for MPs became clearly significant only when pTIS exceeded 3% (AOR 1.7–2.0; Table 1).

Migraine

There were no clear associations with age, gender or household consumption.

A higher proportion of participants with migraine used MPs (AOR 3.4) in rural areas than urban, but for allopathic medications this association just lost significance in multivariate analysis (AOR 1.5; p = 0.021; Table 2). Associations with high altitude, apparent in bivariate analysis, once more lost significance in multivariate analysis. High frequency (AOR 3.2) and pTIS ≥1% were associated with more probable use of allopathic medications (AOR 2.2–4.4) but not of MPs (Table 2).

Headache on ≥15 days/month

Only one association was clear: Less use of allopathic medication(s) (AOR 0.2) in very high-frequency headache (> 20 days/month) (Table 3). A similar trend for MPs (AOR 0.2) did not survive multivariate analysis. A trend away from use of MPs (AOR 0.2) with very high pTIS (>80%) was discernible but did not meet our significance threshold (p > 0.02; Table 3).

Are medicinal plants as likely as other medications to be associated with headache on ≥15 days/month?

As noted earlier, of 912 participants with headache and using allopathic medication(s), 117 (12.8%) reported headache on ≥15 days/month with 40 of these (34.2%) meeting our criteria for overuse; of 185 using MP(s), 28 (15.1%) reported headache on ≥15 days/month, six (21.4%) meeting our criteria for overuse. The difference between these proportions was not significant (p = 0.259 [chi-squared]). Of the 46 with headache on ≥15 days/month and overuse, 87.0% (40/46) were using allopathic medication(s) and 13.0% (6/46) were using MP(s), a ratio of 6.7:1, somewhat higher than the overall usage ratio of 4.9:1 (912/185) (again not significant: p = 0.262).

Discussion

The study found that a considerable minority (10.3%) of people with headache in Nepal had used MPs as treatment for it during the preceding month, although a much higher proportion (50.8%) had used allopathic medication(s). As might be expected, use of each was more likely (MPs: 17.4%; allopathic medication(s) 72.7%) among those with headache on ≥15 days/month. Among those with migraine in particular, use of MPs was positively associated with both rural (AOR 3.4) and high-altitude (AOR 1.9) dwelling.

Use of MPs for headache is therefore common, although less so than use of allopathic medications. Use of MPs is especially common among those with headache on ≥15 days/month, again less so than allopathic medications. Both MPs and allopathic medications were overused, according to our definitions, in association with headache on ≥15 days/month.

However, answers to the questions of whether MPs might be implicated in MOH causation, raised by our fifth objective, and, if so, whether they are as likely to cause MOH as allopathic medications, raised in our starting hypothesis, depend on evidence not only of use, overuse and association but also of a potential causal mechanism. We note, before further consideration of these, that diagnosis of MOH is presumptive, even with allopathic medications: the diagnostic criteria of ICHD-3 beta for practical reasons omit evidence of causation, relying on “Not better accounted for by another ICHD-3 diagnosis” (11). In epidemiology, this last criterion cannot be reliably applied, hence the term “probable MOH”.

With this caveat, we address these questions.

Of 60 plant species identified, 49 were pharmacodynamically active on the CNS, with effects (on CNS receptors, and anti-inflammatory and antioxidative actions) likely to be relevant in MOH causation. This is a revelation of some importance, since 8.8% of all adults aged 18–65 years in Nepal (10.3% of the 85.4% with headache) apparently use MPs for headache (although only 25.0% of these plants have been recognized in the literature as treatments used for headache, and, in a study of traditional use of MPs in Western Nepal, headache was not listed as an indication for any of the plants (207)).

The probably multiple mechanisms of MOH causation are still unclear. Every known drug used in acute headache treatment, with a range of pharmacological actions, can cause MOH when overused (208,209). The MPs used for headache by our study participants are highly pharmacologically active, many with actions similar to those of conventional medications for headache: Inter alia, anti-inflammatory, serotonergic and opioidergic properties, also seen in headache medications such as aspirin, NSAIDs, triptans and opioids. While we cannot (and do not) conclude that MPs are an actual cause of MOH, these findings are such that MPs, wherever they are used and overused, must be included among its potential causes.

It is worth observing that, while only six participants using MPs had headache on ≥15 days/month and fulfilled our criteria for overuse, there is no accepted definition of overuse of MPs. We placed MPs on equal terms with other acute headache medication (2), so that use of MPs of a single type on ≥15 days/month or of more than one type on ≥10 days/month was deemed to be overuse. This said, our search of the literature indicated that many of the plants used for headache had multiple, independent pharmacological actions. This made it likely that each consisted of different active substances, and more logical, therefore, to use ≥10 days/month as the overuse threshold regardless of how many types were consumed, increasing the number diagnosed as MP-overusers. However, we considered the conservative definition a better test of our hypothesis.

Use of MPs for headache escalated with headache frequency at the same rate as use of allopathic medication(s), more than doubling as frequency increased from > 1 to ≥15 days/month. As, probably, the most influential driver of medication overuse, increasing headache frequency appears to operate similarly on MPs and allopathic medications. However, people in ictal state for most of the time (pTIS > 80%) had, apparently, given up on MPs. This was not seen with allopathic medications. It is easy to speculate that people in this near-end state, with headache almost all of their time, find (or believe they find) greater benefit from allopathic medications, so that many switch allegiance. Since there was no sign of reduced use of MPs as pTIS increased up to 80%, there is no support for the alternative explanation – that risk of developing more frequent headache is higher in those who use allopathic medication(s) than in those using MPs. There are no other studies on MPs and headache to throw light on this question.

Other associations were, perhaps, of limited interest. Considerably higher proportions of participants with migraine used MPs in rural areas than urban (AOR 3.5), a finding that was not unexpected, and a reflection, probably, of urban/rural cultural difference driven, in part, by less-easy access in rural areas to health care. Association with high altitude lost significance in multivariate analysis because rural dwelling was itself strongly associated with higher altitude.

There were limitations in this study. First, even though there were 2100 participants overall, the sample size of those reporting headache on ≥15 days per month was only 161. This resulted in lower than ideal statistical power. A second limitation lay in language and plant identification. Since no data collected in the original survey related the local names of the MPs to the ethnicity of those using them, it was impossible for the botanists to identify all of them with their botanical names (more than 120 languages are spoken as mother tongue in Nepal (210)). In addition, no data had been collected on dosages or routes of administration, as already noted, or on whether the MPs were gathered by the participants themselves, prescribed by health workers or dispensed by traditional healers. Although this was information relevant to our public-health objectives, the original survey had deferred its collection to future studies (if warranted) to avoid over-loading an already lengthy enquiry.

A third factor, also limiting but outside our control, was the lack of guiding evidence in the literature. Only one relevant RCT was found in the search for side effects and use against headache, and this was of low quality. It was impossible to establish whether the MPs are actually beneficial in acute headache. Additionally, there were no studies on the pharmacological effects on the CNS for a large proportion of the MPs, which left uncertainties about their possible actions.

Despite these limitations, a participation proportion of 99.6% in the original survey excluded participation bias (2), and the methodology for collecting the data was thoroughly considered (211). These were considerable strengths. This is the first large nationwide study to investigate the use of MPs for headache in Nepal. We assume it will be the starting point for multiple endeavours: Further studies on overuse of plants with pharmacological properties among people with headache disorders; RCTs on MPs used for headache to establish their effects, if any; basic research on the mechanisms that lead to MOH to test our hypothesis more decisively, and provision of guidance on the use and misuse of MPs for headache.

Conclusion

MPs are used as symptomatic treatments for headache by almost 9% of the Nepalese population aged 18–65 years, 15% of whom report headache on ≥15 days/month. Many of these MPs have pharmacodynamic properties similar to those implicated in MOH causation by allopathic medication overuse. On this accumulation of evidence, MPs, whenever used, should be considered at least a potential cause of MOH, perhaps no less than allopathic medications, although this is unproven. The six presumptive cases we identified in Nepal, in a sample of 2100 (0.3%), are, in public-health terms, a small but not negligible proportion. Given a global context in which herbal remedies are becoming increasingly popular, this evidence attaches considerable importance to further research on MOH in relation to MPs. This study provides a starting point, where none existed before.

Public health relevance

Medicinal plants must be included among the potential causes of MOH.

In Nepal, where use of medicinal plants is culturally entrenched, presumptive evidence suggests a small but nonetheless measurable impact at population level.

In developed countries, where MOH is the headache with the highest cost per person, the use of medicinal plants is widely believed to be harmless, and increasing.

For these reasons, further research and guidance on use of MPs for headache are needed.

Abbreviations

AE: adverse events; AOR: adjusted odds ratio; CI: confidence interval; CNS: central nervous system; D: duration; F: headache frequency (headache days); HARDSHIP: Headache-Attributed Restriction, Disability, Social Handicap and Impaired Participation; IRC-KUSMS: Institutional Review Committee of Kathmandu University School of Medical Sciences; MeSH: Medical Subject Heading; MOH: medication-overuse headache; MP: medicinal plant; NSAEs: non-serious adverse events; OR: odds ratio; pMOH: probable MOH; pTIS: proportion of time in ictal state; RCT: randomized controlled trial; SAEs: serious adverse events; TTH: tension-type headache; USD: United States dollar.

Footnotes

Acknowledgements

This study was conducted in collaboration with the Global Campaign against Headache, led by the non-governmental organization Lifting The Burden in official relations with the World Health Organization and with Dhulikhel Hospital and Kathmandu University Hospital, Nepal.

We are grateful to Jan Ove Rein, Senior Research Librarian, Sindre Andre Pedersen, Senior Research Librarian and Katrine Aronsen, Head Librarian (all at The Medicine and Health Library, NTNU) for their practical assistance and help with the literature search, as well as the botanists, Kamal Prasad Acharya and Dilli Prasad Rijal (UiT – The Arctic University of Norway), for their great assistance in identifying plants from their local names, and for valuable advice.

Author contributions

All authors were involved in conception and design of this study. KM, AR, ML and TJS were responsible for data acquisition in the original population-based study. EØS planned and conducted the literature search and established the pharmacological properties of medicinal plants reportedly used by participants. KM and HT performed the analyses. All authors contributed to interpretation of the data. EØS drafted the manuscript and TJS contributed to its revision. All authors reviewed it critically for intellectual content and all, other than KM, approved the final version of the manuscript.

Declaration of conflicting interests

The authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: TJS is a Director and Trustee of Lifting The Burden. The authors declare no other competing interests.

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This project was financially supported by Samarbeidsorganet, the Liaison Committee between the Central Norway Regional Health Authority and the Norwegian University of Science and Technology (NTNU) (grant no. 653010-46060911).

Availability of data and materials

The datasets used and analysed during this study are held securely at The Norwegian University of Science and Technology. They are still undergoing analyses. Once these are completed, the datasets will be available from the corresponding author for academic purposes.

Ethics and approvals

The study protocol was approved by the Regional Committee for Health and Research Ethics in Central Norway, the Nepal Health Research Council and the Institutional Review Committee of Kathmandu University School of Medical Sciences, Dhulikhel Hospital (IRC-KUSMS). Consents were taken according to requirements of IRC-KUSMS (2,).

ORCID iD

Elise Øien Sørnes

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