The prevalence of herbal medicine home use and concomitant use with pharmaceutical medicines in Jamaica
Abstract
Ethnopharmacological relevance
The
work described in this paper aimed to study the prevalence of herbal
medicine use in treating illness and concomitant use with pharmaceutical
medicines in Jamaica.
Materials and methods
A
survey using a structured questionnaire was administered by a trained
interviewer to randomly selected adults in systematically selected
households within randomly selected urban and rural clusters.
Categorical data analysis was performed using Stata version 10 software.
Results
91.4% (372/407)
of selected people agreed to participate. 72.6% (270/372)
self-medicated with herbs within the previous year. Commonly treated
were illnesses of the respiratory system (RS, 77.8% (210/270)),
gastro-intestinal tract (GIT, 53.3% (144/270)) and health maintenance
using tonics (29.6% (80/270)). 26.7% (72/270) of respondents used
pharmaceuticals concomitantly with medicinal plants. Commonly treated
were illnesses of the RS (20.4% (55/270)), GIT (13.7% (37/270)) and
hypertension (10.0%(27/270)). 19.4% (14/72) of physicians knew of such
practices. There was significant association of herb use with/without
drugs with age (p < 0.001), employment status (p < 0.001),
religion (p = 0.004), gender (p = 0.02) and educational level
(p = 0.031). Thus prevalence of herb use alone was greatest amongst
people aged 35–44 and 45–54 years; those employed; Rastafarians; those
without health insurance; males and people who had completed secondary
education. Whilst prevalence of concomitant herb–drug use was greater
amongst people aged 65 years and older; those retired; those of
religions other than Rastafarians and Christians, females and people who
had attained primary education and below.
Conclusions
Self-medication
with herbs in Jamaica is highly prevalent and highest for self-limiting
conditions of the RS, GIT and health maintenance with tonics.
Concomitant herb and drug use is highest for self-limiting conditions of
the RS, GIT and hypertension, and the use of combined therapy
highlights the need for investigations on potential drug–herb
interactions. Physicians have limited awareness and knowledge of such
concomitant usage, further highlighting the need for increased dialogue
with patients, knowledge of medicinal plants and their uses and a
heightened pharmacovigilance to avoid adversities that may arise from
potential drug–herb interactions.
Keywords
- Polypharmacy;
- Drug–herb interactions;
- Adverse drug interactions;
- Self medication
1. Introduction
Jamaica has a history of reliance on herbal medicine (Asprey and Thornton, 1953, Asprey and Thornton, 1954, Asprey and Thornton, 1955a and Asprey and Thornton, 1955b); with a growing body of medicinal plant research (Mitchell and Ahmad, 2006) and a number of surveys reporting extensive use of herbal teas to date (Landman and Hall, 1983, Michie, 1992, Gardner et al., 2000, Delgoda et al., 2004 and Delgoda et al., 2010). These findings lend support to the World Health Organisation (WHO, 2002)
estimate that up to 80% of the population in developing countries use
traditional herbal medicine for primary health care. The Beijing
Declaration, published by the WHO (2008),
calls for a partnership between modern and traditional herbal medicine
to help bridge the equity gap in public health and highlights the
importance of research to support the development of traditional herbal
medicine in delivering appropriate, safe and effective treatments.
Surveys conducted by our laboratories in 2004 (Delgoda et al., 2004) and 2006 (Delgoda et al., 2010)
targeted sub-groups of people taking prescription medicines to identify
concomitant drug–herb use, a practice known in some instances to
contribute to unfavorable interactions leading to possible adverse drug
reactions (ADRs). One of the most widely reported cases of an ADR with a
herb is that of St. John's wort (SJW) (Hypericum perforatum) with immunosuppressant drug cyclosporin ( Krasowski and Blau, 2011).
A number of studies found that concomitant use of SJW and cyclosporin
significantly lowered blood concentrations of the drug ( Barone et al., 2000, Breidenbach et al., 2000 and Karliova et al., 2000). SJW has also been shown to lower blood concentrations of the HIV protease inhibitor indinavir and digoxin ( Cheng, 2000 and Piscitelli et al., 2000).
ADRs involving drug–herb/nutrient include those with grapefruit juice
which is known to inhibit a number of key drug metabolizing enzymes ( Delgoda and Westlake, 2004).
In
this latest survey we targeted a wider population in both urban and
rural communities in Jamaica to quantitatively identify the prevalence
of herbal medicine home use in the treatment of specific illnesses and
concomitant use of herbs with pharmaceutical medicines. In reporting the
findings of this latest survey we aim to provide health care
professionals with information on the use of herbal medicines in primary
health care and to launch further laboratory investigations into likely
herb–drug interactions, a key aspect of herbal medicine safety.
2. Subjects and methods
In
2008–09 a total of 407 people were invited to participate in a
cross-sectional study in three locations, one urban and two rural:
Kingston in St. Andrew, Dallas in St. Andrew and Flagstaff in St. James,
using a structured questionnaire.
Jamaica
is made up of 14 parishes each of which is sub-divided into enumeration
districts (EDs). The number of households to be surveyed in each
location was established in proportion to the size of that location and
the appropriate number of EDs was then randomly selected. Each household
was systematically selected and one adult per household was selected at
random and interviewed. ED maps, population data and survey guidelines
were sourced through the Statistical Institute of Jamaica (STATIN).
Interviews
were completed at various times of the day, during the week and at
weekends in face-to-face interviews with one interviewer who was trained
to avoid bias and to cross examine participants to ascertain
reliability of the obtained results.
The
survey used a modified TRAMIL questionnaire to gather information on
the use of medicinal plants for treatment or prophylaxis of illnesses,
details of plant parts used, source of plant material, preparation
method, herb combinations, dosages, reason for use, source of knowledge,
contraindications, side effects and polypharmacy. TRAMIL (2010)
is a Caribbean wide applied research programme and online database that
aims to document and scientifically evaluate the efficacy and safety of
medicinal plants used for primary health care. Following the TRAMIL
methodology a list of the most prevalent health conditions affecting the
local population, identified based upon data from the Jamaican Ministry
of Health (MOH, 2006), was included in the questionnaire.
Demographic
information (number of rooms, numbers of occupants and relationship to
interviewee, numbers of children and numbers attending school, years in
the area, age, gender, religion, education level attained, reading
ability, employment status, health insurance) was collected and
interviewees were categorized accordingly.
For
the purposes of the study medicinal plants/medicinal herbs/bush
medicines were defined as any plant or part of plants used to prepare
home remedies and pharmaceutical drugs included both prescription and
over-the-counter (OTC) medicines.
In
completing interviews, respondent's anonymity was maintained by
ensuring that no names, addresses, details of family histories or other
details that might identify an individual were recorded, in line with
University of the West Indies ethical guidelines.
Plants
identified by respondents with medicinal uses were collected during the
survey, pressed and identified by Mr. Patrick Lewis, Botanist and
Herbarium Curator at the University of the West Indies, Mona, Jamaica.
Data
entry utilized Epidata version 3.1 and categorical data analysis was
carried out using the statistical package STATA version 10 (StataCorp) to provide measures of frequency and association between variables.
3. Results
Table 1
identifies the characteristics of people interviewed about their use of
medicinal plants to treat illness or maintain health in the last 12
months. A total of 407 people were invited to participate in the survey
and 91.4% agreed to do so and were included in the study. The study
population that indicated their use of medicinal plants to treat illness
and maintain health in the previous 12 months was 72.6%.
Characteristic Sample size (%) Interviews Completed 372 (91.4) Declined 35 (8.6) Used herbal medicine to treat illness or maintain health in last 12 months Yes 270 (72.6) No 102 (27.4) Where respondent had not used herbal medicine the main reason stated was Lack of knowledge 27 (26.5) Think it is unsafe, doctors are safer 20 (19.6) Never needed to 15 (14.7) Do not know 13 (12.7) Just use as tea (not for medicinal purpose) 27 (26.5)
Respondents
who had not specifically used medicinal plants to treat illness or
maintain health in the last 12 months cited a number of reasons such as
lack of knowledge and safety concerns. 26.5% indicated that they had
used medicinal plants ‘just as teas’ but not to treat illness or
maintain health and were therefore not included in the survey.
Table 2 and Table 3
give demographic and socioeconomic details, respectively, for the study
group. There was significant association of herb use with/without drugs
with age (p < 0.001) and employment status (p < 0.001).
Prevalence of herb use alone was lowest in people aged 65 years and
older and highest in 35–44 and 45–54 year-olds whilst concomitant
herb–drug use was highest in people aged 65 years and older and lowest
in 18–24 year-olds.
Demographic index Non herb use Herb use alone Herb & drug use Total Residence Rural 62 (24.1) 139 (54.1) 56 (21.8) 257 (69.1) Urban 40 (34.8) 59 (51.3) 16 (13.9) 115 (30.9) Age group (years) 18–24 16 (36.4) 26 (59.1) 2 (4.5) 44 (11.9) 25–34 21 (28.4) 42 (56.8) 11 (14.8) 74 (19.9) 35–44 17 (26.1) 41 (63.1) 7 (10.8) 65 (17.5) 45–54 12 (17.4) 45 (65.2) 12 (17.4) 69 (18.6) 55–64 17 (35.4) 21 (43.8) 10 (20.8) 48 (12.9) 65–74 9 (25.7) 11 (31.4) 15 (42.9) 35 (9.4) ≥75 10 (27.8) 11 (30.5) 15 (41.7) 36 (9.7) Gender Female 72 (31.2) 110 (47.6) 49 (21.2) 231 (62.1) Male 30 (21.3) 88 (62.4) 23 (16.3) 141 (37.9) Religion Christian 81 (27.5) 150 (51.0) 63 (21.4) 294 (79.2) Rastafarian 1 (4.8) 18 (85.7) 2 (9.5) 21 (5.7) Other 4 (50.0) 1 (12.5) 3 (37.5) 8 (2.2) None 16 (33.3) 28 (58.3) 4 (8.3) 48 (12.9) Total 102 (27.4) 198 (53.2) 72 (19.3) 372
Socioeconomic index Non herb use Herb use alone Herb & drug use Total Education level Primary or lower 21 (25.6) 40 (48.8) 21 (25.6) 82 (23.0) Secondary 58 (24.8) 136 (58.12) 40 (17.1) 234 (65.7) Post-secondary 18 (45) 17 (42.5) 5 (12.5) 40 (11.2) Reading level Good 61 (27.4) 125 (56.0) 37 (16.6) 223 (60.9) Fair 20 (27.0) 38 (51.4) 16 (21.6) 74 (20.2) Poor 13 (27.1) 24 (50.0) 11 (22.9) 48 (13.1) Cannot read 6 (28.6) 9 (42.9) 6 (28.6) 21 (5.7) Occupational field Business 42 (28.0) 83 (55.3) 25 (16.7) 150 (45.3) Health, science 8 (32.0) 8 (32.0) 9 (36.0) 25 (7.5) Ed.Agr, tran, sec 20 (21.3) 58 (61.7) 16 (17.0) 94 (28.4) Domestic 8 (22.9) 23 (65.7) 4 (11.4) 35 (10.6) Other 9 (33.3) 12 (44.4) 6 (22.2) 27 (8.2) Employment status Employed F/T 45 (25.8) 107 (61.5) 22 (12.6) 174 (46.9) Employed P/T 6 (23.1) 17 (65.4) 3 (11.5) 26 (7.0) Unemployed 32 (32.3) 49 (49.5) 18 (18.2) 99 (26.7) Retired 14 (22.6) 19 (30.6) 29 (46.8) 62 (16.7) Student 5 (50.0) 5 (50.0) 0 (0.0) 10 (2.7) Health insurance Yes 27 (41.5) 24 (36.9) 14 (21.5) 65 (17.5) No 75 (24.4) 174 (56.7) 58 (18.9) 307 (82.5) Crowding index Yes 51 (24.5) 119 (57.2) 38 (18.3) 208 (57.3) No 49 (31.6) 73 (47.1) 33 (21.3) 155 (42.7) Total 100 192 71 372
Prevalence
of herb use alone was lowest amongst the retired and highest amongst
those employed whilst concomitant herb–drug use was highest in the
retired and lowest in students.
There was also statistically significant association of herb use with educational level (p = 0.031), gender (p = 0.02), possession of health insurance (p = 0.007) and religion (p = 0.004).
Prevalence
of herb use alone was lowest in those with tertiary education and
highest in those who had completed secondary education whilst
concomitant herb–drug use was highest in those with education up to
primary level or below and lowest in those with tertiary education.
Prevalence
of herb use alone was highest amongst male respondents, those without
health insurance and Rastafarians whilst prevalence of concomitant
herb–drug use was highest amongst female respondents and those of other
religions.
Area of
residence (urban/rural), reading level, occupation and household
crowding were not significant correlates of medicinal plant use alone or
with pharmaceutical drugs.
Thus
prevalence of herb use alone was greatest amongst people aged 35–44 and
45–54 years; those employed; people who had completed secondary
education; males; Rastafarians and those without health insurance (Table 2 and Table 3).
Whilst the prevalence of concomitant herb–drug use was greater amongst
people aged 65 years and older; those retired; people who had attained
primary education and below; females and those of other religions.
Table 4
details the body systems and health conditions treated with medicinal
plants alone and concomitantly with pharmaceutical drugs within the
study sample. The conditions most commonly identified were self limiting
illnesses of the respiratory system (RS) and gastro-intestinal tract
(GI tract), and the maintenance of health using herbal tonics. Within
the study sample, more than a quarter of respondents indicated their
concomitant use of medicinal plants with pharmaceutical drugs with the
most commonly self-medicated conditions for this sub-population being
illnesses of the RS, GI tract and hypertension. The concomitant use of
medicinal plants and pharmaceutical drugs was not limited to treatments
for the same condition for example a respondent might take a
pharmaceutical drug for hypertension and also self medicate with
medicinal plants for a cold or bellyache.
Popular use or disease treated Herb only Herb & druga Total herb use Respiratory system (asthma, cold/flu/sore throat/cough, cold in belly, sinusitis) 155 (57.4) 55 (20.4) 210 (77.8) GI tract (diarrhea, constipation, vomiting, bellyache/gas, ulcer, hemorrhoid, worms) 107 (39.6) 37 (13.7) 144 (53.3) Tonic (washout & blood cleanse) 63 (23.3) 17 (6.3) 80 (29.6) Hypertensionb 15 (5.5) 27 (10.0) 42 (15.5) Musculoskeletal (arthritis, backache, sprain) 27 (10.0) 12 (4.4) 39 (14.4) Mental health (insomnia, nerves, depression) 26 (9.6) 9 (3.3) 35 (13.0) Headache 22 (8.14) 4 (1.5) 26 (9.6) Skin (rash, fungal infection, acne) 21 (7.8) 5 (1.8) 26 (9.6) Gynecological (menstrual problems, fibroids, infertility, infection) 9 (3.3) 6 (2.2) 15 (5.5) Cardiovascular system (high cholesterol, peripheral vascular disease, heart valve disease, coronary heart disease) 4 (1.5) 9 (3.3) 13 (4.8) Diabetes (type II) 4 (1.5) 8 (3.0) 12 (4.4) Injury (burn, wound/cut/bruise) 8 (2.9) 2 (0.7) 10 (3.7) Genito-urinary (bladder, cystitis) 5 (1.8) 3 (1.1) 8 (3.0) Prostate problems 3 (1.1) 2 (0.7) 5 (1.8) Teeth (teething, toothache) 3 (1.1) 1 (0.4) 4 (1.5) Eyes 3 (1.1) 1 (0.4) 4 (1.5) -
- a
- N.B. drug use is not limited to drugs taken for the same condition being treated by herbs.
- b
- Hypertension listed separately from cardiovascular disease due to high level of prevalence.
Respondents across the three locations identified their use of 116 different medicinal plants in the previous 12 months. Table 5 lists the top 50 with the most frequently cited being Momordica charantia (Cerasee), Bryophyllum pinnatum (Leaf of Life), Aloe vera (Sinkle Bible) and Eupatorium odoratum (Jack-in-the-Bush).
Scientific name Family Local name n % Momordica charantia L. Cucurbitaceae Cerasee 114 42.2 Bryophyllum pinnatum (Lam.) Oken Crassulaceae Leaf of Life 93 34.4 Aloe vera (L.) Burm. f. Xanthorrhoeaceae Sinkle Bible 68 25.2 Eupatorium odoratum L. Asteraceae Jack-in-the-Bush 61 22.6 Annona muricata L. Annonaceae Soursop 41 15.2 Zingiber officinale Roscoe Zingiberaceae Ginger 37 13.7 Solanum torvum Sw. Solanaceae Susumber 35 13.0 Allium sativum L. Amaryllidaceae Garlic 34 12.6 Piper amalago L. Piperaceae Jointer 28 10.4 Gliricidia sepium (Jacq.) Kunth ex Walp. Fabaceae Maranga 27 10.0 Stachytarpheta jamaicensis Hutch. & Dalziel Verbenaceae Vervine 26 9.6 Clerodendrum thomsoniae Balf. Lamiaceae Rice & Peas 25 9.3 Andrographis paniculata (Burm. f.) Nees Acanthaceae Rice Bitters 24 8.9 Rivina humilis L. Phytolaccaceae Dogblood 22 8.2 Morinda citrifolia Hunter Rubiaceae Noni 21 7.8 Opuntia cochenillifera (L.) Mill. Cactaceae Tuna 20 7.4 Polyscias guilfoylei (W. Bull) L.H. Bailey Araliaceae Aralia 19 7.0 Cymbopogon citratus (DC.) Stapf Poaceae Fever Grass 16 5.9 Chenopodium ambrosioides L. Amaranthaceae Semicontract 15 5.6 Rhytidophyllum tomentosum (L.) Mart. Gesneriaceae Search-mi-Heart 15 5.6 Bidens reptans (L.) G. Don Asteraceae Marigold 13 4.8 Petiveria alliacea L. Phytolaccaceae Guinea Hen Weed 13 4.8 Desmodium canum Schinz & Thell. Fabaceae Strongback 11 4.1 Priva lappulacea (L.) Pers. Verbenaceae Fasten-pon-coat 11 4.1 Citrus aurantiifolia (Christm.) Swingle Rustaceae Lime 9 3.3 Hyptis verticillata Jacq. Lamiaceae John Charles 9 3.3 Picramnia antidesma Sw. Picramniaceae Majoe Bitters 9 3.3 Artocarpus altilis (Parkinson) Fosberg Moraceae Bread Fruit 8 3.0 Cassia alata L. Fabaceae King of the Forest 8 3.0 Bambusa vulgaris Wendl. ex Nees Poaceae Bamboo 7 2.6 Lippia alba (Mill.) N.E. Br. ex Britton & P. Wilson Verbenaceae Colic Mint 7 2.6 Picrasma excelsa (Sw.) Planch. Simaroubaceae Bitter Wood 7 2.6 Pothomorphe umbellata (L.) Miq. Piperaceae Cowfoot 7 2.6 Bidens pilosa L. Asteraceae Spanish Needle 6 2.2 Cassia occidentalis L. Fabaceae Dandelion 6 2.2 Mentha × piperita L. Lamiaceae Peppermint 6 2.2 Pimenta spp. Lindl. Myrtaceae Pimento 6 2.2 Pseudelephantopus spicatus (Juss. ex Aubl.) C.F. Baker Asteraceae Dog Tongue 6 2.2 Smilax spp. L. Smilacaceae Sarsaparilla 6 2.2 Argemone mexicana L. Papaveraceae Thistle 5 1.9 Mikania micrantha Kunth Asteraceae Quaco Bush 5 1.9 Psidium guajava L. Myrtaceae Guava 5 1.9 Terminalia catappa L. Combretaceae Almond 5 1.9 Achyranthes indica (L.) Mill. Amarantaceae Devil's Horsewhip 4 1.5 Alysicarpus vaginalis (L.) DC. Fabiaceae Medina 4 1.5 Cannabis sativa L. Cannabaceae Ganja 4 1.5 Cecropia peltata L. Urticaceae Trumpet Tree 4 1.5 Cola acuminata (P. Beauv.) Schott & Endl. Malvaceae Bissy 4 1.5 Cordia globosa (Jacq.) Kunth Boraginaceae Black Sage 4 1.5 Justicia pectoralis Jacq. Acanthaceae Fresh Cut 4 1.5
Table 6
identifies characteristics of the sub-population of concomitant
herb–drug users with 26.7% identifying their use of medicinal plants
concomitantly with pharmaceutical drugs in the previous 12 months. Only
19.4% indicated that their medical practitioner was aware of their use
of herbs with only a fraction stating that they were asked if they used
herbs by the practitioner.
Characteristic n % Medical practitioner is aware of the use of herbs 14 19.4 Medical practitioner asked whether herbs were used 7 9.7 Reasons given for the concomitant use of herbs and medicines They work well together 9 12.5 Pharmaceutical drug alone not good 4 5.5 Too many side effects with pharmaceutical drug 6 8.3 Pharmaceutical drug expensive 8 11.1 No harm in taking both together 8 11.1 Not taking pharmaceutical drug for same condition 35 48.6 Has experienced side effects from the practice of polypharmacy 0 0.0 Who would side effects, if any, be reported to Doctor 25 34.7 Nurse 6 8.3 Family member 1 1.4
When
asked why they used herbs with pharmaceutical drugs nearly half of
respondents indicated that they were not using them for the same
condition. Other reasons cited included that they worked well together,
there was no harm in taking both together, pharmaceutical drugs were too
expensive, pharmaceutical drugs had too many side effects and that
pharmaceutical drugs alone were no good.
None
of the respondents reported experiencing side effects when taking drugs
and herbs together. However if side effects were to be experienced a
third of respondents stated that they would prefer to tell their doctor.
16.7% stated that if given the choice they would choose an herbal
medicine rather than a prescription drug.
A
majority of concomitant herb–drug users were able to identify the
pharmaceutical drugs they had taken with herbs in the previous 12 months
(Table 7).
Some of the most common drugs cited included hydrochlorothiazide (HZT)
for hypertension and fluid retention, metformin for diabetes, salbutamol
(Ventolin) for bronchospasm and enalapril for hypertension and
obstructive heart failure.
Pharmaceutical drug n % Medicinal plant (common namea) Hydrochlorothiazide (HZT) 10 13.9 Almond, Aralia, Barsley, Cerasee, Chicken Weed, Cow's Tongue, Coconut, Dandelion, Fasten-pon-coat, Ginger, Jack-in-the-Bush, Jackie Saddle, John Charles, Maranga, Noni, Jointer, Peppermint, Pimento, Rice Bitters, Rosemary, Sarsaparilla, Sinkle Bible, Soursop, Vervine Metformin 10 13.9 Barsley, Bissy, Cerasee, Chicken Weed, Colic Mint, Dandelion, Fevergrass, Garlic, Jack-in-the-Bush, John Charles, Maranga, Noni, Rice Bitters, Rice & Peas, Search-mi-heart, Sinkle Bible, Soursop, Susumber, Tuna Salbutamol (Ventolin) 9 12.5 Aralia, Breadfruit, Cerasee, Dogblood, Fresh Cut, Garlic, Jack-in-the-Bush, Leaf of Life, Maranga, Jointer, Rice & Peas, Seaweed, Sinkle Bible, Soursop, Susumber, Vervine, Enalapril 6 8.3 Cerasee, Chicken Weed, Ginger, Jack-in-the-Bush, Leaf of Life, Maranga, Noni, Sarsaparilla, Search-mi-heart, Vervine Aspirin 5 6.9 Aralia, Cerasee, Fasten-pon-coat, Fever Grass, Ginger, Garlic, Jack-in-the-Bush, John Charles, Leaf of Life, Maranga, Sinkle Bible, Soursop, Tuna Simvastatin 4 5.5 Breadfruit, Cerasee, Jack-in-the-Bush, Marigold, Maranga, Pear, Search-mi-heart, Spanish Needle, Susumber, Thistle Atenolol 3 4.2 Fever Grass, Jack-in-the-Bush, Noni, Maranga, Soursop Furosemide 3 4.2 Cerasee, Ginger, Jack-in-the-Bush, Leaf of life, Sarsaparilla, Search-mi-heart, Vervine Hydralazine 3 4.2 Aralia, Jointer, Fever Grass, Garlic, Ginger, John Charles, Leaf of Life, Sinkle Bible, Soursop, Susumber, Trumpet Tree Nifedipine 3 4.2 Breadfruit, Fasten-pon-coat, Garlic, Ginger, Jack-in-the-Bush, Leaf of Life, Marigold, Maranga, Pear, Jointer, Search-mi-heart, Spanish Needle, Rice & Peas, Sinkle Bible, Susumber, Tuna Atorvastatin (Lipitor) 2 2.8 Dogblood, Noni Bendroflumethiazide & reserpine 2 2.8 Fasten-pon-coat, Garlic, Leaf of Life, Rice & Peas, Sinkle Bible, Soursop, Susumber, Tuna Captopril 2 2.8 Breadfruit, Garlic, Jack-in-the-Bush, Marigold, Maranga, Pear, Search-mi-heart, Sinkle Bible, Soursop, Spanish Needle Carvedilol (Talliton) 2 2.8 Ginger, Leaf of Life, Jointer, Sarsaparilla, Sinkle Bible, Strongback Loratadine (Claritin) 2 2.8 Cerasee, Leaf of Life, Search-mi-heart Diclofenac 2 2.8 Dogblood, Jack-in-the-Bush, Maranga, Noni, Susumber, Thistle Digoxin (Lanoxin) 2 2.8 Cerasee, Ginger, Jack-in-the-Bush, Leaf of life, Sarsaparilla Gliclazide (Diamicron) 2 2.8 Cerasee, Chicken Weed Glyburide (Glynase) 2 2.8 Barsley, Cerasee, Chicken Weed, Dandelion, Golden Seal, Noni, Rice Bitters, Sinkle Bible Ibuprofen 2 2.8 Cerasee, Jack-in-the-Bush, Leaf of Life, Peppermint, Semi-contract, Sinkle Bible, Tuna, Vervine Piroxicam (Feldene) 2 2.8 Cerasee, Dogblood, Garlic, Jointer, Rice & Peas, Susumber Ranitidine 2 2.8 Cerasee, Garlic, Ginger, Leaf of Life, Maranga, Sarsaparilla, Tuna -
- a
- Scientific names of medicinal plants not listed in Table 5 include: Barsley = Ocimum campechianum; Chicken Weed = Salvia serotina; Coconut = Cocus mucifera; Cow's Tongue = Polypodium phyllitidis; Jackie Saddle = Peperomia amplexicaulis; Pear = Persea americana; Rosemary = Rosmarinus officinalis.
N.B. medicinal plants taken for the same condition as a pharmaceutical drug are highlighted in bold.
Over
a third of concomitant herb–drug users stated that they took
pharmaceutical drugs and herbs within hours of each other whilst nearly
two thirds alternated each type on different days. Nearly half of the
respondents took medicinal plants for the same condition as at least one
of the pharmaceutical drugs taken and these plants are highlighted in
bold type in Table 7.
For example some respondents who took metformin for diabetes also
indicated that they self medicated with Cerasee, Chicken Weed, Noni,
Rice Bitters, Sinkle Bible and Tuna for the same condition. Commonly
used combinations of pharmaceutical drugs and herbs, taken for the same
condition, were metformin hydrochloride with cerasee and sinkle bible,
hydrochlorothiazide (HZT) with Noni and salbutamol (Ventolin) with
garlic.
4. Discussion
This
survey was the first to be carried out on households, targeting a
population of herbal medicine users on their practices of herb–drug
concomitant use in Jamaica. A previous survey by our laboratory reported
on medicinal plant use within a population of pharmaceutical drug users
for any ailment (Delgoda et al., 2010) and specifically for diabetes, hypertension and GI tract infections (Delgoda et al., 2004).
In this latest study we report the prevalence of concomitant herb–drug
use in this population of home users as 26.7%. It is interesting to note
that in this latest survey and a recent survey (Delgoda et al., 2010),
no statistically significant difference was seen in medicinal plant use
between urban and rural respondents. This contrasts with two previous
surveys (Gardner et al., 2000 and Delgoda et al., 2004).
Results
from our latest survey reveal that respondents, who had little or no
schooling, were retired and aged 65 years or older, demonstrated a
greater tendency to practice concomitant herb–drug use. This contrasts
with findings in the population of pharmaceutical drug users (Delgoda et al., 2010)
where concomitant herb–drug use, amongst those with no schooling, was
comparable to those with tertiary education and was not found to be
linked significantly with employment status or age. Concomitant
herb–drug use in the elderly raises particular concern about possible
adverse drug reactions (ADRs) resulting from herb–drug interactions. A
meta-analysis of 68 observational studies in the UK reported that
ADR-related hospitalisations, resulting from drug–drug interactions, are
four times higher in older than in younger patients and may account for
as many as 17% of elderly admissions. The authors of the report go on
to suggest that the majority of these admissions are preventable as they
result from predictable drug interactions (Beijer and de Blaey, 2002). In Australia repeat ADR-related hospitalisations in the elderly account for up to a third of events (Zhang et al., 2007).
Pharmacodynamic
changes in old age lead to increased complexity of interactions between
polypharmacy, co-morbidity, altered pharmacokinetics and
pharmacodynamic sensitivity. In addition, due to age related chronic
diseases and the increased prescription of prophylactic drugs those aged
65 and over receive a disproportionate number of drugs (Wynne and Blagburn, 2010), for example in the UK, 45% of total prescriptions dispensed (Department of Health, 2004).
In the over 65s multiple medication use has been identified as a major
contributor to the development of potentially serious ADRs (Haider et al., 2009, Stegemann et al., 2010, Steinman and Hanlon, 2010 and Wynne and Blagburn, 2010).
Hypertension
in Jamaica is the seventh leading cause of death in the general
population but the fourth in those aged 60 years old and over (MOH, 2006).
In the sub-population of concomitant herb–drug user hypertension was
identified as the third most commonly self-medicated condition and in
addition six of the ten pharmaceutical drugs most commonly prescribed
were for hypertension. In the UK, cardiovascular drugs are amongst those
most implicated in ADRs in the elderly (Pirmohamed et al., 2004 and Patel et al., 2007).
Herbs
taken for hypertension concomitantly with antihypertensive drugs
included: garlic with hydralazine, nifedipine,
bendroflumethiazide/reserpine and captopril; pear leaf and breadfruit
leaf with nifedipine and captopril. Two of these antihypertensive drugs
are known to be metabolized by human CYP450 enzymes; nifedipine is
metabolized by CYP3A4 and captopril by CYP2D6. To date, in vitro and in vivo
studies on the drug interactions of garlic have yielded contradictory
results indicating both possible inhibition and induction of CYP3A4.
Clinical investigations have identified a number of potential
pharmacokinetic interactions, highlighting the need for patients taking
drugs that are CYP3A4 substrates to be monitored when there is
concomitant use with garlic ( Colalto, 2010). Preliminary in vitro work has identified potential inhibition of CYP3A4 by pear leaf ( Agbonon et al., 2010).
Given the already high risk of drug–drug interactions in the elderly it
is clear that research is urgently required to screen commonly used
medicinal plants to reduce the risks of potential herb–drug
interactions. In vitro laboratory investigations are currently
underway in our laboratory using human CYP450 enzymes to investigate the
potential for herb–drug interactions in some of the most commonly used
Jamaican medicinal plants and the key phytochemicals identified from
them ( Shields et al., 2008 and Badal et al., 2011).
In
reviewing the perceived safety of concomitant herb–drug use there is
significant difference between the sub-population of herb–drug users in
this latest survey and the pharmaceutical drug users previously
surveyed. Delgoda et al. (2010)
reported that the overwhelming majority of respondents did not consider
the concomitant use of both types of medicine to be harmful. In this
latest survey the response was far less clear with 48.6% of respondents
indicating that the medicinal plants used were not taken for the same
condition. This appears to indicate a perception that if the two types
of medicine are taken together for different illnesses they are unlikely
to interact and are therefore safe. However 59% of concomitant
herb–drug users indicated some awareness of the possible dangers stating
that they alternated the days on which they took the two types of
medicine compared to 39% who took both on the same day. Whilst some
awareness of the potential dangers is clear, the level of understanding
is low. Alternating the days may not be sufficient time to avoid
potential interaction given that different drugs take different periods
for clearance which can vary from several hours to several days.
The
level of underreporting to physicians of concomitant herb–drug use in
this latest survey (19.4%) is similar to that reported in a number of
studies (Bristol et al., 2008): 28% of patients in one study (Cockayne et al., 2005) and 23% in another (Robinson and McGrail, 2004).
Reasons cited for non-disclosure were expectation of a negative
reaction from the doctor, the perception that there was no need to
report such use and the fact that they were simply not asked (Robinson and McGrail, 2004).
Physician awareness of concomitant herb–drug use and the percentage of
physicians proactively asking patients are in line with two previous
surveys in Jamaica (Delgoda et al., 2004 and Delgoda et al., 2010). Research in neighbouring Trinidad and Tobago (Clement et al., 2005 and Clement, 2009), previously cited by Delgoda et al. (2010)
revealed a higher percentage of physicians asking their patients about
their use of herbs. Physicians were found to be more accepting of herbal
medicine use in their patients but exhibited poor knowledge of herbs
leading to a gap in communication. The level of concomitant herb–drug
use reported in primary care centres at 29% was close to that reported
in our sub population of concomitant herb–drug users (25.9%) (Clement et al., 2005 and Clement, 2009).
This
study is not without limitation. Some degree of bias may have been
introduced if selection of subjects had been limited to a particular
time or day of the week despite efforts to interview at different times
and days of the week. Estimates may have been subjected to recall bias
if people had problems recalling herbs and pharmaceutical drugs prior to
interview.
5. Conclusion
This
latest survey shows that self medication with medicinal plants
continues to be highly prevalent in Jamaica (72.6%) and is highest for
conditions of the respiratory system, gastro-intestinal tract and health
maintenance. Concomitant herb–drug use is highest for conditions of the
respiratory system, gastro-intestinal tract and hypertension. Such
concomitant use is most prevalent in the retired and those aged over 65
years; amongst those who have had primary education or below, and
contrary to common belief, was independent of whether the respondent
lived in a rural or urban location. Physicians’ awareness of herb drug
co-use was particularly low (19.4%) and draws attention to the fact that
there exists a gap in communication between patient and physician in
relation to self medication with herbs. With a practice of
co-medication, there exists the possibility for drug–herb interactions
and information gathered in this survey will help initiate laboratory
based investigations for those combinations that may lead to potential
adverse drug reactions. Herbs found to be used in combination with drugs
in this study, will undergo screens for potential CYP450 enzyme
mediated pharmacokinetic interactions. A better understanding of herb
pharmacokinetics is an aspect of herb safety with the potential to
increase physician awareness and knowledge and to enable greater
integration into Jamaica's national healthcare system, in line with the
2008 Beijing Declaration that calls for a partnership between modern and
traditional medicine to help bridge the equity gap in public health.
Acknowledgements
We thank the Commonwealth Scholarship Commission, the University of the West Indies Postgraduate Research Fund, the Environmental Foundation of Jamaica, the Forest Conservation Fund and the International Foundation for Science (Sweden)
for funding support.The authors express their gratitude to respondents
who so graciously gave their time and generously shared their
traditional knowledge during the survey. We thank and acknowledge the
hard work and dedication of Devon Lindsay who helped coordinate and
manage the survey across the three areas. Community leaders and others
for facilitating the surveys, guidance in their areas and botanical
collection: Kelvin Clarke, Mike Grizzle the late Mr Black, Melinda
Brown, Dolphy Powell, Mr Dallas and Garfield McNaughton.
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