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Article

Usage Patterns of Traditional Chinese Medicine for Patients with Bipolar Disorder: A Population-Based Study in Taiwan

by
Shu-Ping Chen
1,
Su-Tso Yang
2,*,
Kai-Chieh Hu
3,4,
Senthil Kumaran Satyanarayanan
5 and
Kuan-Pin Su
4,5
1
Graduate Institute of Chinese Medicine, School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung 404328, Taiwan
2
School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung 404328, Taiwan
3
Management Office for Health Data, China Medical University Hospital, Taichung 404439, Taiwan
4
College of Medicine, China Medical University, Taichung 404328, Taiwan
5
Mind-Body Interface Laboratory (MBI-Lab), China Medical University Hospital, Taichung 404327, Taiwan
*
Author to whom correspondence should be addressed.
Healthcare 2024, 12(4), 490; https://doi.org/10.3390/healthcare12040490
Submission received: 9 January 2024 / Revised: 6 February 2024 / Accepted: 16 February 2024 / Published: 18 February 2024
(This article belongs to the Special Issue Clinical Informatics and Data Analysis in Healthcare)
Browse Figure
Review Reports Versions Notes

Abstract

:
Background: Patients with bipolar disorder (BD) receive traditional Chinese medicine (TCM) for clinical needs unmet with psychotropic medications. However, the clinical characteristics of practices and outcomes of TCM in BD are not fully understood. This cohort study investigated the clinical characteristics, principal diagnoses, TCM interventions, and TCM prescriptions in patients with BD. Methods: Data for a total of 12,113 patients with BD between 1996 and 2013 were withdrawn from Taiwan’s longitudinal health insurance database 2000 (LHID 2000). The chi-square test was used for categorical variables, and the independent t-test was used for continuous variables. A p-value less than 0.05 indicated significance. Results: One thousand three hundred nineteen patients who visited TCM clinics after the diagnosis of BD were in the TCM group, while those who never visited TCM were in the non-TCM group (n = 1053). Compared to the non-TCM group, patients in the TCM group had younger average age, a higher percentage of female individuals, more comorbidities of anxiety and alcohol use disorders, and higher mood stabilizer usage rates. The TCM group exhibited pain-related indications, including joint pain, myalgia, myositis, headache, and sleep disturbances. Corydalis yanhusuo and Shu-Jing-Huo-Xue-Tang were the most useful single herbs and herbal formulae. Conclusions: Physicians need to be aware of the use of TCM in patients with BD.

1. Introduction

Bipolar disorder is a mental disorder that includes three episodes: mania, hypomania, and depression [1]. The prevalence of bipolar disorder (BD) is about two to five percent of the worldwide population [2]. Over 90% of patients with BD experience recurrence throughout their lives, and approximately 35 to 57% relapse in one year [3]. The treatment goal for BD is to control acute episodes that, when severe, may lead to hospitalization and to prevent future recurrence states [4,5]. Mood stabilizers (e.g., lithium, valproate acid, carbamazepine, and antipsychotics) are approved to suppress shifts between mania and depression. Monotherapy of mood stabilizers should be the primary choice, at least in mild and moderate mania. Although poly-therapy with combinations of mood stabilizers plus atypical antipsychotics has proven to be more effective, poly-therapy should be reserved for severe mania or as a subsequent step in mild and moderate mania after unsuccessful monotherapy [6]. Some patients with BD need in-hospital care besides conventional pharmacotherapy. However, pharmacotherapy with lithium only improves the BD prognosis in one-third of patients [7]. When their medications did not relieve manic or depressive symptoms, patients with BD tended to use complementary and alternative medicine (CAM) [8]. Another reason patients with BD used CAM was that it cost less than psychiatric services [9]. Worthy of attention, most patients with BD did not discuss their CAM usage with their physicians [10]. Two papers identified the population of patients with BD using CAM. Fifty percent of 435 patients with BD took vitamins or herbs, and 44% of 50 elderly patients with BD used CAM [10,11].
There is more research on CAM treatments for depression or bipolar depression than there is for CAM treatments for bipolar disorder. According to a review study, CAM therapies for BD include omega-3 fatty acids, St. John’s wort, herbal products, S-adenosyl-L-methionine, aromatherapy massage, therapeutic massage, yoga, Chinese oral medicine, and acupuncture [12]. St. John’s wort can relieve mild to moderate depression but has the potential to induce mania because it can induce cytochrome P450 enzyme activity, accelerating the metabolism of antipsychotics and reducing antipsychotics’ control of mania and hypomania [13]. S-adenosyl-L-methionine can treat major depressive disorder but induces mania with an unclear mechanism [14,15]. Evidence regarding the benefits of omega-3 fatty acids or acupuncture is inconsistent [12].
Although CAM is a broader term encompassing diverse healing practices from various cultural and medical traditions worldwide, the National Center for Complementary and Integrative Health (NCCIH) classified CAM treatments by their primary therapeutic input, how the therapy is taken in or delivered, as follows: nutritional (e.g., special diets, dietary supplements, herbs, and probiotics), psychological (e.g., mindfulness), physical (e.g., massage, spinal manipulation), and combined therapies, such as mental and physical therapy (e.g., yoga, tai chi, acupuncture, dance or art therapies) or psychological and nutritional therapy (e.g., mindful eating) [16]. Traditional Chinese medicine (TCM) is an essential part of CAM. TCM has its roots in ancient Chinese philosophy, including principles such as Yin and Yang and the concept of Qi (vital energy). TCM interventions include acupuncture, herbal medicine, Chinese traumatology medicine, and qigong.
TCM has been used for thousands of years in China. Huang Di Nei Jing is an ancient Chinese medical text treated as a fundamental doctrinal source for Chinese medicine. Chapter 46 of Huang Di Nei Jing Su Wan and Chapter 22 of Ling Su describe symptoms and treatments associated with BD, such as fresh iron flakes and acupuncture on the spleen, bladder, stomach, lung, small intestine, and large intestine meridians [17,18]. Recent research about TCM on BD conducted before April 2022 is as follows: A clinical trial demonstrated that patients with BD taking Free and Easy Wanderer Plus and carbamazepine had lower drop-out rates, side effects, and serum carbamazepine levels than the carbamazepine plus placebo group [19]. A case report also inferred that acupuncture combined with mood stabilizers and antipsychotics as maintenance therapies would not aggravate bipolar disorder prognosis [20].
Research about the population of TCM users and treatments of BD is insufficient. The probable reason is that the number of TCM users among patients with BD in published studies is ambiguous, which cannot support subsequent TCM clinical studies on BD. Therefore, investigating the number of people with BD using TCM is a priority research effort. In this study, we aimed to investigate usage patterns of TCM for patients with BD in Taiwan, including analyzing the characteristics of patients with BD who used TCM, the primary indication of patients with BD visiting TCM clinicians, and the TCM techniques and prescriptions they accept.

2. Materials and Methods

2.1. Data Source

This study used data from the Longitudinal Health Insurance Database 2000 (LHID2000), which contains the claim data of one million randomly selected patients in the National Health Insurance Research Database (NHIRD) of the single-payer healthcare system launched in Taiwan from 1996 to 2013 (releasing two hundred thousand and eight hundred thousand insured in 2002 and 2009), but not those born after 2000 [21]. The LHID data include patients’ demographics, inpatient and outpatient visit records, prescriptions, and disease diagnoses, encoded based on the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM). All patient data had been de-identified to preserve patient privacy. The structure of the NHIRD files is described in detail on the NHIRD website and in other publications [22,23]. The National Health Insurance Research Database (NHIRD) presents all TCM outpatient activities but not inpatient services. NHIRD also covers expenses related to TCM interventions, encompassing oral Chinese herbal medicines (single herbs and herbal formulae), acupuncture, and Chinese traumatology medicine [24]. In the current study, we extracted all TCM users with BD but analyzed Chinese herbal medicine and acupuncture prescriptions in subsequent analysis. This study was approved by the Research Ethics Committee of China Medical University and Hospital [CMUH104-REC2-115(AR-4)], Taichung, Taiwan, 12 June 2020.

2.2. Study Population

The inclusion criteria were as follows: both male and female patients with BD (ICD-9-CM: 296.0, 296.1, 296.4, 296.5, 296.6, 296.7, and 296.8) older than fifteen years old in the LHID 2000. Age at onset (AAO) is a critical variable in the prognoses of BD [25]. There are several cut-off BD onset ages in the literature. For example, forty years old is a cut-off for early-onset and late-onset bipolar disorder (EOBD and LOBD) [26]. Approximately 30–60% of BD patients experience onset between ages 15 and 19, called pediatric or juvenile BD [27,28]. The condition of suffering or maintaining BD at over 50 years of age was named older age bipolar disorder (OABD) [29]. Bolton et al., in 2021, systematically searched the databases. They proposed the trimodal age-at-onset distribution with an average early-onset age of seventeen, mid-onset age of twenty-six, and late-onset age of forty-two [25]. Depending on the previous literature statements and the fact that citizens over 65 years old in Taiwan are elderly, we decided to include BD patients more than 15 years old. In total, 12,113 patients diagnosed with BD from 1 January 1996 to 31 December 2013 were included in this study. The index date was the initial visit to a TCM clinic. The current study followed each patient in the cohort until death, withdrawal from the National Health Insurance program, or 31 December 2013. Of these patients, eighty-nine percent (n = 10,758) received TCM. Among TCM users with BD, eighty-seven percent (n = 9361) visited TCM clinics before and 1397 after BD diagnosis. To avoid potential TCM interference before the diagnosis of BD, we were more interested in exploring the phenomenon of patients who never received TCM treatment before the diagnosis of BD visiting TCM physicians for help not quitting psychiatric therapies. Therefore, all eligible participants in this study were excluded if they were recorded visiting TCM clinics before their diagnosis of BD. Other exclusion criteria were index date not between the enrollment and withdrawal date, index year not between 1996 and 2012, under the age of fifteen, and missing end date data. After the diagnosis of BD, 1319 of the included patients received TCM during conventional medicine (CM) treatment, and 1053 patients only received CM treatments. Figure 1 presents a visualization of the sample selection procedure.

2.3. Covariates of Comorbidities and Medications

Physical diseases are risk factors for psychiatric disorders [30,31,32]; psychiatric disorders also affect physical illnesses. When patients’ physical conditions and psychiatric disorders are not controlled well, both will increase the disease prognoses bilaterally [33]. Cognitive functions, pharmacotherapies, and psychiatric and medical comorbidities of patients with BD affect recurrence rates, increasing the odds of suicidality, disability, unemployment, and re-hospitalization [34]. According to previous statements, we selected the following comorbidities in BD patients based on a literature review: Physical comorbidities in patients with BD included diabetes mellitus (ICD-9-CM: 250) [35], hypertension (ICD-9-CM: 401–405) [36], hyperlipidemia (ICD-9-CM: 272) [37], chronic obstructive pulmonary disease (ICD-9-CM: 490–496) [32,38,39], tobacco use (ICD-9-CM: 305.1) [40], and obesity (ICD-9-CM: 278) [41]. The previous comorbid diseases were risk factors for cardiovascular disease, such as ischemic heart disease (ICD-9-CM: 410–414) [42], and one of the most common premature mortalities among BD patients [43,44].
Patients with BD may also have one or several psychiatric diseases as comorbidities. A meta-analysis study indicated that 40% of patients with BD suffer from an anxiety disorder [45,46]. Seventeen percent of BD patients had attention-deficit/hyperactivity disorder (ADHD) [47]. McElroy et al. surveyed 875 patients about their eating disorder comorbidities, and 14.3% had at least one comorbid lifetime eating disorder, such as bulimia nervosa [48]. Regier et al. found 43.6% of patients with BD had an alcohol diagnosis [49]. Therefore, we also included anxiety (ICD-9-CM: 300.0, 300.2, and 300.3), attention-deficit disorder (ICD-9-CM: 314.0), unspecified eating disorder (ICD-9-CM: 307.50), bulimia nervosa (ICD-9-CM: 307.51), and alcohol use disorder (291, 303, 305.00, 305.01, 305.02, and 305.03) as psychiatric comorbidities in patients with BD.
Conventional psychotropic medications such as mood stabilizers and antipsychotics are typically used to manage BD. We selected BD medicines mentioned in Psych Notes- Clinical Pocket Guide 4th Edition by Darlene D. Pedersen and “Taiwan Consensus of Pharmacological Treatment for Bipolar Disorder” by Bai, Y. M. et al. (2013), such as lithium carbonate, carbamazepine, valproic acid, lamotrigine, topiramate, aripiprazole, and loxapine, as treatment-as-usual medications for further analysis [6,50]. The medicines mentioned previously are paid for in BD treatment by Taiwan’s National Health Insurance and are suitable for conducting NHIRD research. All patients with BD received “treatment-as-usual medications” during the study period. The current study was retrospective research, so patients’ medical records do not include interference from outside the NHI during the study period.

2.4. Statistical Analysis

Descriptive statistics for categorical and continuous variables are presented as numbers or percentages and means and standard deviations, respectively. Chi-square and Student’s t-tests were adopted to evaluate differences in categorical and continuous variables, respectively, between the cohorts. A p-value less than 0.05 indicated significance in any hypothesis test. SAS 9.4 (SAS Institute Inc., Cary, NC, USA) was used for data analysis.

3. Results

3.1. Demographic Characteristics

Table 1 summarizes all participants’ demographic and clinical characteristics (TCM and non-TCM groups). The mean age of patients in the TCM group was less than that of the non-TCM group (44.3 ± 16.8 vs. 48.2 ± 19.0; p < 0.0001). The non-TCM group included more men (63.3%) than women, whereas the TCM group included more women (53.4%) than men. The follow-up duration was 8.6 ± 4.8 years in the non-TCM group and 8.3 ± 4.3 years in the TCM group. Significant differences in the comorbidities of anxiety (p < 0.0001) and alcoholism (p = 0.0128) were noted between the TCM group (31.9% and 5.5% with anxiety and alcoholism, respectively) and the non-TCM group (20.7% and 3.3% with anxiety and alcoholism, respectively). Moreover, a significantly higher proportion of patients in the TCM group took medication, including lithium carbonate, carbamazepine, valproic acid, and aripiprazole.

3.2. TCM Treatment Interventions

From 1996 to 2013, 10,758 (88.8%) patients with BD visited TCM clinics. Among these patients, 9361 received TCM treatment before the diagnosis of BD, and 1319 received TCM treatment after the diagnosis of BD. In the latter group of 1319 patients, 1043 (79.1%) took single herbs, 1155 (87.6%) took herbal formulae, and 120 (9.1%) received acupuncture treatment (Table 1).

3.3. Principal Diagnostic Codes Used by TCM Practitioners

Table 2 lists the top ten indications for Chinese herbal medicines and acupuncture among patients with BD. The indications identified by TCM doctors are arranged by diagnosis frequency in descending order. For patients who took Chinese herbal medication, indications were sleep disturbances, joint pain, acute nasopharyngitis, unspecified myalgia and myositis, lumbago, cough, headache, contusion of the ankle and foot (excluding toes), lumbar sprain, and constipation. For patients who received acupuncture, indications were joint pain, unspecified myalgia and myositis, lumbago, contusion of the knee and lower leg, ankle sprain, sprains and strains at unspecified sites of the shoulder and upper arm, contusion of the elbow and forearm, contusion of the wrist and hand(s) (except fingers), sprains and strains at unspecified sites of the knee and leg, and unspecified backache.

3.4. Top Ten Most Commonly Prescribed Chinese Single Herbs and Herbal Formulae

Table 3 presents the top ten Chinese herbal medicines prescribed to patients with BD. The prescribed single herbs and herbal formulae are arranged by diagnosis frequency in descending order. Single herbs prescribed were yanhusuo (Corydalis yanhusuo W. T. Wang), danshen (Salvia miltiorrhiza Bunge), huangqin (Scutellaria baicalensis Georgi), gegen (Pueraria lobate), jiegeng (Platycodon grandiflorum), gancao (Glycyrrhiza uralensis Fisch.), suanzaoren (Ziziphus jujube Mill. var. spinosa), duzhong (Eucommis ulmoidea Oliv.), dahuang (Rheum palmatum L.), and baizhi (Angelica dahurica). Herbal formulae prescribed were Shu-Jing-Huo-Xue-Tang, Jia-Wei-Xiao-Yao-San, Shao-Yao-Gan-Cao-Tang, Suan-Zao-Ren-Tang, Ge-Gen-Tang, Xue-Fu-Zhu-Yu-Tang, Tian-Wang-Bu-Xin-Dan, Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, Gan-Mai-Da-Zao-Tang, and Chuan-Xiong-Cha-Tiao-San.
Table 4 shows the top 10 Chinese herbal medicines prescribed to patients with sleep disturbances after the diagnosis of BD in Taiwan during 1996–2012. Yejiaoteng (Polygonum multiflorumThunb) and Suan-Zao-Ren-Tang, also contained in Table 3, are the most commonly prescribed prescriptions for sleep disturbance in patients with BD. Other prescriptions such as danshen (Salvia miltiorrhiza Bunge), gegen (Pueraria lobate), suanzaoren (Ziziphus jujube Mill. var. spinosa), Jia-Wei-Xiao-Yao-San, Tian-Wang-Bu-Xin-Dan, Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, and Gan-Mai-Da-Zao-Tang are included in both Table 3 and Table 4.

4. Discussion

4.1. Demographic Characteristics

Compared with the non-TCM group, demographic characteristics of the TCM group were younger age, female, higher percentages of anxiety and alcohol use disorder, and higher medication usage rates. We highly suspect that patients with more severe illnesses of BD tended to receive TCM treatment. Patients with early-onset BD (age ≤ 18 years) exhibit more severe conditions, a shorter mood cycle, a higher likelihood of having comorbid anxiety, and more substance use [51]. However, we could not determine whether the onset of BD was earlier among the patients in the TCM group than among those in the non-TCM group because NHIRD does not contain data on the age of BD onset. Screening for new diagnoses of BD in the NHIRD was possible, but the age at the time of diagnosis may differ from the onset age.
A systematic review calculated that the lifetime and current prevalence rate of any anxiety disorder comorbidities was 40.5% and 38.2% among patients with BD [45]. In the present study, we figured out that 27% of patients with BD had anxiety states (ICD-9-CM: 300.0), phobic disorders (ICD-9-CM: 300.2), or obsessive–compulsive disorders (ICD-9-CM: 300.3), and more than two-thirds of them received TCM treatment. We found out that patients with BD visiting TCM clinicians may relate to anxiety. Lithium has an essential role in treating comorbid anxiety in BD in patients who were medication-free primarily and lithium-naïve at baseline [52]. However, patients with high anxiety scores had low lithium responsivity [53]. In the current study, we could not determine whether the severity of anxiety disorders from the NHIRD data has a positive correlation with visiting TCM. BD and alcohol use disorder are often contemporary [54]. A sizeable epidemiological study revealed that 43.6% of patients with BD had alcohol use disorder [49]. In our study, only 4.5% of patients with BD had alcohol misuse, and more than 67% visited TCM clinics. However, because of the small sample size of this study, this percentage is not representative of all patients with BD in the real world of Taiwan. Anxiety was a predictor of a shorter time to recurrence, and alcohol abuse was a predictor of a long time to remission [55]. Anxiety and alcohol misuse may be confounding factors in comparing BD severity between patients who did or did not receive TCM treatment.
Psychiatric physicians prescribe two or more medications based on the BD patients’ disease severity when the first-line monotherapy medicine fails to affect them [6]. Our study indicates that significantly more patients with BD in the TCM group than in the non-TCM group took valproate, lithium, and carbamazepine to manage their illnesses. In particular, aripiprazole was prescribed only in the TCM group. However, we did not calculate the impact of combination/augmentation or adjunctive/add-on therapy, which needs future scrutiny.

4.2. Acupuncture Treatment Intervention

TCM has included acupuncture treatment for over three thousand years [56]. Acupuncture amplified the American people’s interest in the early 1970s [57]. A study analyzing 22,512 adults in the United States 2007 National Health Interview Survey revealed that 6.8% reported lifetime use of acupuncture and 1.5% reported use in the past 12 months [58]. Taiwan’s NHIRD from 1996 to 2002 showed that 22.6% of total valid beneficiaries (n = 4,948,464) used acupuncture during the study period [59]. Another comparative study analyzed the 2002 to 2011 data of Taiwan’s LHID 2000 and found that the one-year population of acupuncture users increased from 7.98% to 10.9% [60]. Further calculations indicated that the average acupuncture population was 8.84% during the study period [60]. Our analysis also used LHID 2000 and found that 9% of patients with BD received acupuncture treatment between 1996 and 2012, which seemed higher than the average, but there is a need for more comprehensive statistics to support our findings. In our study, patients with BD visiting TCM clinics tended to take herbal medicines rather than receive acupuncture. There are two possible reasons. First, patients with BD probably cannot overcome the fear of needles as acupuncture is a slightly painful invasive treatment that causes soreness in the treatment area [61]. A clinical study indicated that the fear of pain induced by acupuncture needles increases patients’ pain rating scores and physiological responses [62]. The amygdala controls fear reactions [63], and acupuncture may alter the amygdala-specific brain network [62]. Moreover, some abnormal structures were observed in BD patients’ amygdalae [64]. These findings may support the relatively low proportion of patients with BD who receive acupuncture treatment. Second, Chinese medicine physicians have expertise in treatment, such as acupuncture, TCM prescription, or traumatology. Some patients would say they did not want acupuncture when they came to TCM clinics. Some patients were even unwilling to take TCM. However, we cannot know the actual state of outpatients’ demand in the database study. A more suitable method is to design a questionnaire to ask patients what kind of assistance they want from TCM clinics.
It is essential to detect acupuncture’s positive effect and support its effectiveness on the comorbidities of patients with BD. However, we did not design corresponding research methods to find evidence of the impact of acupuncture on relative symptoms. The current study only showed the characteristics of BD patients who received TCM treatment, principal diagnosis codes, and prescriptions from TCM physicians. Future studies can use results from the current study to research other topics. For example, “myalgia and myositis” was one of the common diagnoses in patients with BD who accepted acupuncture. We can extract patients with BD and “myalgia and myositis” who did and did not use TCM and then compare their usage of corticosteroids and biomarkers of inflammation which were not present in Taiwan’s NHIRD.

4.3. Principal Diagnostic Codes Used by TCM Practitioners

In our study, pain-related diseases were the most frequent indication for patients with BD receiving acupuncture. Indeed, pain is one of the most common comorbidities in patients with BD. There exist high rates of pain (29%) and chronic pain (23%) among patients with BD, posing a 2.14 times higher risk of pain in comparison to healthy controls [65]. Patients with BD generally present with various co-occurring pain-related conditions, including arthritis-related pain, rheumatic arthritis, polymyalgia rheumatica, myalgia and myositis, joint pain, back pain, lumbago, migraine, headache, and psychogenic and neuropathic pain [65,66].
Numerous studies have shown that impaired neuroimmune function might be one of the common pathways for pain and mood symptoms in BD [67]. The dysfunction of monoamine neurotransmitters [68], mainly serotonin, noradrenaline, and dopamine, relative metabolites of neurotransmitters as mentioned above [69], and the maladaptive alternations of their receptors in the CNS are involved in the pathogenesis of BD and endogenous pain [70,71]. Therefore, pharmacotherapies acting on monoamine neurotransmitter systems are considered to alleviate pain in affective diseases. Evidence from clinical research supports the ability of tricyclic antidepressants, serotonin–norepinephrine reuptake inhibitors, and certain anticonvulsants to offer pain relief [72]. Clinical studies have proven the therapeutic efficacy of acupuncture for treating 28 conditions, including depression, headache, knee pain, low back pain, neck pain, periarthritis of the shoulder, rheumatoid arthritis, and sprains [73]. Similarly, Chinese herbal medicine can alleviate musculoskeletal pain [74], osteoarthritis [75], fibromyalgia [76], neuropathic pain [77], low back pain [78], and chronic pain [79]. The data from our study demonstrated similar indications to prior studies, suggesting that oral Chinese herbal medicines and acupuncture can treat pain and BD effectively [12,80]. Still, future trials are needed to establish their efficacy further.
Short sleep duration is one of the BD diagnostic criteria, which probably explains why patients with BD are often diagnosed with sleep disturbances. Sleep disturbance may increase the risk of chronic pain [81], which is mediated by cytokines, particularly interleukin (IL)-1β, IL-6, and tumor necrosis factor-alpha (TNF-α) [82]. Elevated IL-6, IL-8, monocyte chemoattractant protein-1, interferon-gamma, and TNF-α levels in patients with BD were associated with inadequate response to antidepressants and short total sleep time [71,83]. Earlier findings indicated that patients with BD have elevated pro-inflammatory cytokine levels and decreased levels of anti-inflammatory cytokines, such as IL-4 and IL-10 [84,85]. The imbalance of pro-inflammatory and anti-inflammatory cytokines in patients with BD may worsen pain perception and sleep quality.

4.4. Top Ten Most Commonly Prescribed Chinese Single Herbs and Herbal Formulae

Our study’s most frequently prescribed single herb was Yanhusuo (Corydalis yanhusuo), which was prescribed for myalgia and myositis, lumbago, cough, and headache prescriptions (not shown in the article). Yanhusuo is one of the pain relief and blood activation TCM herbs [86]. The alkaloids from Corydalis binding with GABA, dopamine, and benzodiazepine receptors can alleviate anxiety and depression symptoms [87,88]. A clinical study proved that Yanhusuo significantly decreased pain intensity and bothersomeness scores [89]. Anxiety and depression can increase sensitivity to pain [90], and pain can also lead to anxiety and depression [91], which may explain why Yanhusuo has anti-anxiety, anti-depression, and analgesic effects [86]. Our finding also shows that Shu-Jing-Huo-Xue-Tang was the most frequently prescribed herbal formula in treating lumbago, cough, and headache. It contains 15 herbs, including Dong Gui (Angelica sinensis), Chuan Xiong (Ligusticum wallichii), Di Huang (Rehmannia glutinosa), Fang Feng (Siler divaricatum), Bai Shao (Paeonia lactiflora), Long Dan Cao (Gentiana scabra), Tao Ren (Prunus persica), Huai Niu Xi (Achyranthes bidentata), Fu Ling (Poria cocos), Sheng Jiang (Zingiber officinale), Cang Zhu (Atractylodes lancea), Gan Cao (Glycyrrhiza glabra), Qiang Huo (Notopterygium incisium), Bai Zhi (Angelica anomala), and Chen Pi (Citrus reticulate). In neuropathic rats with chronic constriction injury (a model of neuropathic pain), Shu-Jing-Huo-Xue-Tang achieves anti-hypersensitivity effects by regulating α2 adrenoreceptors [92]. Studies show that activating α2 adrenoreceptors involves pain facilitation by releasing pro-nociceptive transmitters [93]. These findings further support the efficacy of Shu-Jing-Huo-Xue-Tang in alleviating chronic and psychological pain.
Other Chinese herbal medicines with analgesic effects included Danshen (Salvia miltiorrhiza), Shao-Yao-Gan-Cao-Tang, and Xue-Fu-Zhu-Yu-Tang. In our study, Danshen (Salvia miltiorrhiza) was one of the herbs for myalgia and myositis; it has an analgesic effect because of its anti-inflammatory mechanism [94]. Shao-Yao-Gan-Cao-Tang was prescribed for lumbago, headache, and contusion of the ankle and foot excluding toes. Shao-Yao-Gan-Cao-Tang exerts a significant regulatory impact on neuropathic pain, which could increase an individual’s pain threshold and reduce surfactant protein, beta-endorphin, prostaglandin E2, and nitric oxide (NO) levels [95]. In our study, Xue-Fu-Zhu-Yu-Tang was a formula used for headaches; it can relieve distending pain or the tingling sensation accompanying diseases such as ischemic heart disease and arthritis [96].
In our study, the TCM herb and the formula with sedative and hypnotic effects were Suanzaoren (Ziziphus jujube Mill. var. spinosa) and Suan-Zao-Ren-Tang. Suanzaoren is widely used to treat insomnia [97] and possesses anxiolytic effects at low doses and sedative effects at high doses [98]. Danshen (Salvia miltiorrhiza Bge.) and gegen (Pueraria lobata (Willd.) Ohwi) were also prescribed for sleep disturbances in the current study and were associated with a lower risk of depression [99]. The TCM formula Suan-Zao-Ren-Tang contains five herbs, including Suanzaoren (Semen Zizyphi spinosa), Fuling (Sclerotium Poriae Cocos), Chuanxiong (Radix Ligustici Chuanxiong), Zhimu (Rhizoma Anemarrhena), and Gancao (Radix Glycyrrhizae) [100]. Suan-Zao-Ren-Tang ameliorates insomnia through the GABAergic and serotonergic systems and is further suggested to regulate the immune system, particularly inflammation cytokines [101,102]. Other formulae for insomnia include Jia-Wei-Xiao-Yao-San, Chai-Hu-Jia-Long-Gu-Mu-Li-Tang, Gan-Mai-Da-Zao-Tang, and Tian-Wang-Bu-Xin-Dan [103], which seem beneficial for reducing the time required for sleep onset. However, their potential to alleviate insomnia remains uncertain [104].

4.5. Strengths and Limitations of the Study

This study is the first study using data from the NHIRD database to explore TCM usage among individuals diagnosed with BD. The major strength of our study is its use of a large population-based claim dataset of one ethnic group, which enabled the analysis of all cases of BD and TCM usage. The results reveal the rationale behind TCM usage in treating patients with BD, providing a new approach among clinicians and a comprehensive understanding of different levels of BD treatments.
To our best acknowledgment, research on the combined use of traditional Chinese medicine (TCM) and conventional medicine (CM) in BD was limited, and the available evidence was not extensive after the literature review. The paper titled “The beneficial effects of the herbal medicine Free and Easy Wanderer Plus (FEWP) for mood disorders: double-blind, placebo-controlled studies” contained in the Journal of Psychiatric Research, from 2007, was the only study that mentioned the positive effect of Free and Easy Wanderer Plus add-on with carbamazepine in patients with BD. While there is a rich history of TCM in treating various health conditions, including mental health issues, the integration of TCM with conventional treatments for BD has not been extensively studied in Western scientific literature [19]. Therefore, it is hard to write a review focusing on previous studies showing that TCM added to CM treatment is more effective in treating BD than CM treatment alone.
We are aware that the present study has several limitations. First, we could not determine the BD severity of our study participants without further analysis. The Young Mania Rating Scale can evaluate manic symptoms at baseline and over time in individuals with mania [105]. However, the NHIRD database does not contain such information. We only noticed patients’ current relative ICD-9 code for BD. The possible solution is to compare each BD patient’s outpatient, inpatient, emergency service records, and psychotropic medication usage, which makes it possible to evaluate the prognoses and severities of BD. Second, the current approach could not estimate disease duration without information on the age of onset. Although patients with BD onset before eighteen years old exhibit more severe conditions [51], physicians can try to diagnose BD as early as possible and provide suitable treatments that may relieve BD’s severity. Third, we did not check the prevalence and onset age of BD-related comorbidities or the timing of disease onset. Taking BD comorbid anxiety as an example, a paper published in 2012 indicated that females and early onset age were predominant in patients with bipolar disorder comorbid anxiety [106]. The prior study, which had a small sample size (n = 304), might not reveal the prevalence of anxiety in the real world. Still, it told us that women and younger patients had a higher risk of anxiety disorder. Fourth, we could not determine how long patients with BD received TCM treatment after taking standard medications. Therefore, we cannot detect adverse events for the drug–drug interaction between the prescribed medications and internal medicines of TCM directly from the NHIRD but can only observe the relationships between them. For example, there is a need for more studies to consolidate whether the dosages or types of psychotropic medications for BD patients changed or not after TCM intervention under specific controls of NHIRD. Fifth, we cannot confirm the effects of TCM treatments on BD. There are several ways to determine the impact of TCM on BD indirectly. Examples include identifying whether TCM interventions can shorten the BD treatment period, decrease emergency services and acute psychiatric admissions times, or shorten the length of stay days. Sixth, we did not analyze the frequency of using single herbs, herbal formulae, and acupuncture together. The study proposal missed such a key comparison element. TCM clinicians tailor treatments based on their clinical judgment and abilities. We recognize that different TCM practitioners might suggest varied prescriptions for the same conditions, leading to potential differences in symptoms and adding a touch of unpredictability. Finally, we did not tell which combinations of TCM interventions are effective in treating BD.

5. Conclusions

In this cohort study, we explored the feasibility of using TCM for patients with BD. Our study revealed the characteristics of patients with BD receiving TCM treatments: a younger average age, a higher percentage of female individuals, more comorbidities of anxiety and alcohol use disorders, and higher mood stabilizer usage rates. Patients with BD visiting TCM clinics were diagnosed with sleep disturbances, joint pain, myalgia, and myositis related to inflammation and neuroimmune diseases by TCM physicians. Yanhusuo and Shu-Jing-Huo-Xue-Tang were the most used prescriptions and, according to a literature review, have suggestive evidence of analgesic effects due to anti-inflammatory mechanisms and modulation of the monoamine neurotransmitter system in the central nervous system in patients with BD.
This study’s findings offer valuable insights for clinical Chinese medicine practitioners, aiding them in selecting appropriate treatment plans when addressing patients with BD. This guidance extends to reflecting on the correlation between the symptoms presented by these patients during medical visits and their chief complaints. Moreover, an analysis of the current status of TCM utilization in BD treatment can serve as a foundational principle for academic and professional education by delving into the specifics of the patterns of single herbs and herbal formulae used by patients with BD since the NNHIRD initiation. This knowledge is a basis for prescribing medications and a foundation for planning additional basic or clinical experiments. Practically, mastering and predicting the development of patients with BD after TCM treatment becomes instrumental in fostering patients’ adherence to medical advice. Furthermore, the adjustment of Western medicine dosage following TCM treatment is anticipated to mitigate toxic side effects.
In conclusion, our study provides new insight into TCM as a potential complementary treatment for BD. However, more evidence-based research is necessary to prove its efficacy in treating BD.

Author Contributions

Conceptualization, S.-P.C. and S.-T.Y.; methodology, S.-P.C. and K.-C.H.; software, K.-C.H.; formal analysis, K.-C.H.; investigation, S.-P.C., S.-T.Y. and K.-P.S.; writing—original draft, S.-P.C. and S.-T.Y.; writing—review and editing, S.K.S. and K.-P.S.; visualization, S.-P.C.; supervision, S.-T.Y. and K.-P.S.; project administration, S.-P.C.; funding acquisition, S.-T.Y. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Taiwan Ministry of Health and Welfare Clinical Trial Center (MOHW109-TDU-B-212-114004), MOST Clinical Trial Consortium for Stroke (MOST 109-2321-B-039-002), China Medical University Hospital (DMR-110-159, DMR-110-222, and CMU110-AWARD-02), Tseng-Lien Lin Foundation, Taichung, Taiwan.

Institutional Review Board Statement

This study was approved by the Research Ethics Committee of China Medical University and Hospital [CMUH104-REC2-115(AR-4)], Taichung, Taiwan, 12 June 2020.

Informed Consent Statement

Informed consent was waived because of the retrospective design of this study that did not involve any additional risk for patients.

Data Availability Statement

The datasets used or analyzed during the current study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Grande, I.; Berk, M.; Birmaher, B.; Vieta, E. Bipolar disorder. Lancet 2016, 387, 1561–1572. [Google Scholar] [CrossRef] [PubMed]
  2. Ming, T.T.; Tohen, M.; Jones, P.B. Textbook in Psychiatric Epidemiology; Wiley: Hoboken, NJ, USA, 2011. [Google Scholar]
  3. Shim, I.H.; Woo, Y.S.; Wang, H.R.; Bahk, W.M. Predictors of a Shorter Time to Hospitalization in Patients with Bipolar Disorder: Medication during the Acute and Maintenance Phases and Other Clinical Factors. Clin. Psychopharmacol. Neurosci. 2017, 15, 248–255. [Google Scholar] [CrossRef] [PubMed]
  4. Hirschfeld, M.A.; Bowden, C.L.; Gitlin, M.J.; Keck, P.E.; Perlis, R.H.; Suppes, T.; Thase, M.E.; Wagner, K.D. Practice guideline for the treatment of patients with bipolar disorder (revision). Am. J. Psychiatry 2002, 159 (Suppl. S4), 1–50. [Google Scholar]
  5. National Collaborating Centre for Mental Health; National Institute for Health and Care Excellence. Clinical Guidelines. In Bipolar Disorder: The NICE Guideline on the Assessment and Management of Bipolar Disorder in Adults, Children and Young People in Primary and Secondary Care; The British Psychological Society and The Royal College of Psychiatrists: London, UK, 2014. [Google Scholar]
  6. Bai, Y.M.; Chang, C.J.; Tsai, S.Y.; Chen, Y.C.; Hsiao, M.C.; Li, C.T.; Tu, P.; Chang, S.W.; Shen, W.W.; Su, T.P. Taiwan consensus of pharmacological treatment for bipolar disorder. J. Chin. Med. Assoc. 2013, 76, 547–556. [Google Scholar] [CrossRef] [PubMed]
  7. Solomon, D.A.; Keitner, G.I.; Miller, I.W.; Shea, M.T.; Keller, M.B. Course of illness and maintenance treatments for patients with bipolar disorder. J. Clin. Psychiatry 1995, 56, 5–13. [Google Scholar] [PubMed]
  8. Jarman, C.N.; Perron, B.E.; Kilbourne, A.M.; Teh, C.F. Perceived treatment effectiveness, medication compliance, and complementary and Alternative medicine use among veterans with bipolar disorder. J. Altern. Complement. Med. 2010, 16, 251–255. [Google Scholar] [CrossRef] [PubMed]
  9. Perron, B.E.; Jarman, C.N.; Kilbourne, A.M. Access to conventional mental health and medical care among users of complementary and Alternative medicine with bipolar disorder. J. Nerv. Ment. Dis. 2009, 197, 287–290. [Google Scholar] [CrossRef]
  10. Keaton, D.; Lamkin, N.; Cassidy, K.A.; Meyer, W.J.; Ignacio, R.V.; Aulakh, L.; Blow, F.C.; Sajatovic, M. Utilization of herbal and nutritional compounds among older adults with bipolar disorder and with major depression. Int. J. Geriatr. Psychiatry 2009, 24, 1087–1093. [Google Scholar] [CrossRef]
  11. Kilbourne, A.M.; Copeland, L.A.; Zeber, J.E.; Bauer, M.S.; Lasky, E.; Good, C.B. Determinants of complementary and Alternative medicine use by patients with bipolar disorder. Psychopharmacol. Bull. 2007, 40, 104–115. [Google Scholar]
  12. Andreescu, C.; Mulsant, B.H.; Emanuel, J.E. Complementary and Altern.ive medicine in the treatment of bipolar disorder—a review of the evidence. J. Affect. Disord. 2008, 110, 16–26. [Google Scholar] [CrossRef]
  13. Le, T.T.; McGrath, S.R.; Fasinu, P.S. Herb-drug Interactions in Neuropsychiatric Pharmacotherapy—A Review of Clinically Relevant Findings. Curr. Neuropharmacol. 2022, 20, 1736–1751. [Google Scholar] [CrossRef]
  14. Sharma, A.; Gerbarg, P.; Bottiglieri, T.; Massoumi, L.; Carpenter, L.L.; Lavretsky, H.; Muskin, P.R.; Brown, R.P.; Mischoulon, D. S-Adenosylmethionine (SAMe) for Neuropsychiatric Disorders: A Clinician-Oriented Review of Research. J. Clin. Psychiatry 2017, 78, e656–e667. [Google Scholar] [CrossRef] [PubMed]
  15. Abeysundera, H.; Gill, R. Possible SAMe-induced mania. BMJ Case Rep. 2018, 2018, bcr2018224338. [Google Scholar] [CrossRef]
  16. NCCIH. Complementary, Alternive, or Integrative Health: What’s In a Name? Available online: https://www.nccih.nih.gov/health/complementary-Altern.ive-or-integrative-health-whats-in-a-name (accessed on 4 February 2024).
  17. Unschuld, P.U.; Tessenow, H.; Jinsheng, Z.; Huang, D.; Nei, J.; Su, W. An Annotated Translation of Huang Di’s Inner Classic—Basic Questions: 2 Volumes, 1st ed.; University of California Press: Los Angeles, CA, USA, 2011. [Google Scholar]
  18. Unschuld, P.U.; Huang, D.; Nei, J.; Ling, S. The Ancient Classic on Needle Therapy, 1st ed.; University of California Press: Los Angeles, CA, USA, 2016. [Google Scholar]
  19. Zhang, Z.J.; Kang, W.H.; Li, Q.; Tan, Q.R. The beneficial effects of the herbal medicine Free and Easy Wanderer Plus (FEWP) for mood disorders: Double-blind, placebo-controlled studies. J. Psychiatr. Res. 2007, 41, 828–836. [Google Scholar] [CrossRef] [PubMed]
  20. Kim, K.H.; Kim, J.K.; Yang, G.Y.; Lee, B.R.; Noh, S.H. Acupuncture for management of balance impairment in a patient with bipolar disorder. Jams J. Acupunct. Merid. Stud. 2013, 6, 56–59. [Google Scholar] [CrossRef] [PubMed]
  21. NHIRD. Longitudinal Health Insurance Database (LHID). Available online: https://nhird.nhri.edu.tw/en/Data_Subsets.html (accessed on 4 February 2024).
  22. Chang, L.C.; Huang, N.; Chou, Y.J.; Lee, C.H.; Kao, F.Y.; Huang, Y.T. Utilization patterns of Chinese medicine and Western medicine under the National Health Insurance Program in Taiwan, a population-based study from 1997 to 2003. BMC Health Serv. Res. 2008, 8, 170. [Google Scholar] [CrossRef]
  23. Hsieh, C.Y.; Su, C.C.; Shao, S.C.; Sung, S.F.; Lin, S.J.; Kao Yang, Y.H.; Lai, E.C. Taiwan’s National Health Insurance Research Database: Past and future. Clin. Epidemiol. 2019, 11, 349–358. [Google Scholar] [CrossRef]
  24. Chen, F.P.; Chen, T.J.; Kung, Y.Y.; Chen, Y.C.; Chou, L.F.; Chen, F.J.; Hwang, S.J. Use frequency of traditional Chinese medicine in Taiwan. BMC Health Serv. Res. 2007, 7, 26. [Google Scholar] [CrossRef]
  25. Bolton, S.; Warner, J.; Harriss, E.; Geddes, J.; Saunders, K.E.A. Bipolar disorder: Trimodal age-at-onset distribution. Bipolar Disord. 2021, 23, 341–356. [Google Scholar] [CrossRef]
  26. Lavin, P.; Buck, G.; Almeida, O.P.; Su, C.L.; Eyler, L.T.; Dols, A.; Blumberg, H.P.; Forester, B.P.; Forlenza, O.V.; Gildengers, A.; et al. Clinical correlates of late-onset versus early-onset bipolar disorder in a global sample of older adults. Int. J. Geriatr. Psychiatry 2022, 37. [Google Scholar] [CrossRef]
  27. Goetz, M.; Novak, T.; Vesela, M.; Hlavka, Z.; Brunovsky, M.; Povazan, M.; Ptacek, R.; Sebela, A. Early stages of pediatric bipolar disorder: Retrospective analysis of a Czech inpatient sample. Neuropsychiatr. Dis. Treat. 2015, 11, 2855–2864. [Google Scholar] [CrossRef] [PubMed]
  28. Yee, C.S.; Hawken, E.R.; Baldessarini, R.J.; Vázquez, G.H. Maintenance Pharmacological Treatment of Juvenile Bipolar Disorder: Review and Meta-Analyses. Int. J. NeuropsychoPharmacol. 2019, 22, 531–540. [Google Scholar] [CrossRef] [PubMed]
  29. Szmulewicz, A.; Valerio, M.P.; Martino, D.J. Longitudinal analysis of cognitive performances in recent-onset and late-life Bipolar Disorder: A systematic review and meta-analysis. Bipolar Disord. 2020, 22, 28–37. [Google Scholar] [CrossRef] [PubMed]
  30. Chien, I.C.; Lin, C.H.; Chou, Y.J.; Chou, P. Risk of hypertension in patients with bipolar disorder in Taiwan: A population-based study. Compr. Psychiatry 2013, 54, 687–693. [Google Scholar] [CrossRef] [PubMed]
  31. Hsu, J.H.; Chien, I.C.; Lin, C.H. Increased risk of hyperlipidemia in patients with bipolar disorder: A population-based study. Gen. Hosp. Psychiatry 2015, 37, 294–298. [Google Scholar] [CrossRef] [PubMed]
  32. Su, V.Y.; Hu, L.Y.; Yeh, C.M.; Chiang, H.L.; Shen, C.C.; Chou, K.T.; Chen, T.J.; Lu, T.; Tzeng, C.H.; Liu, C.J. Chronic obstructive pulmonary disease associated with increased risk of bipolar disorder. Chron. Respir. Dis. 2017, 14, 151–160. [Google Scholar] [CrossRef] [PubMed]
  33. Penninx, B.; Lange, S.M.M. Metabolic syndrome in psychiatric patients: Overview, mechanisms, and implications. Dialogues Clin. Neurosci. 2018, 20, 63–73. [Google Scholar] [CrossRef] [PubMed]
  34. Peters, A.T.; West, A.E.; Eisner, L.; Baek, J.; Deckersbach, T. The Burden of Repeated Mood Episodes in Bipolar I Disorder: Results From the National Epidemiological Survey on Alcohol and Related Conditions. J. Nerv. Ment. Dis. 2016, 204, 87–94. [Google Scholar] [CrossRef]
  35. Cassidy, F.; Ahearn, E.; Carroll, B.J. Elevated frequency of diabetes mellitus in hospitalized manic-depressive patients. Am. J. Psychiatry 1999, 156, 1417–1420. [Google Scholar] [CrossRef]
  36. Goldstein, B.I.; Fagiolini, A.; Houck, P.; Kupfer, D.J. Cardiovascular disease and hypertension among adults with bipolar I disorder in the United States. Bipolar Disord. 2009, 11, 657–662. [Google Scholar] [CrossRef]
  37. Kilbourne, A.; Cornelius, J.R.; Han, X.; Pincus, H.A.; Shad, M.; Salloum, I.; Conigliaro, J.; Haas, G.L. Burden of General Medical Conditions among Individuals with Bipolar Disorder. Bipolar Disord. 2004, 6, 368–373. [Google Scholar] [CrossRef] [PubMed]
  38. Chen, W.; Thomas, J.; Sadatsafavi, M.; FitzGerald, J.M. Risk of cardiovascular comorbidity in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysis. Lancet Respir. Med. 2015, 3, 631–639. [Google Scholar] [CrossRef] [PubMed]
  39. Hsu, J.H.; Chien, I.C.; Lin, C.H. Increased risk of chronic obstructive pulmonary disease in patients with bipolar disorder: A population-based study. J. Affect. Disord. 2017, 220, 43–48. [Google Scholar] [CrossRef] [PubMed]
  40. Lasser, K.; Boyd, J.W.; Woolhandler, S.; Himmelstein, D.U.; McCormick, D.; Bor, D.H. Smoking and Mental IllnessA Population-Based Prevalence Study. JAMA 2000, 284, 2606–2610. [Google Scholar] [CrossRef] [PubMed]
  41. Fagiolini, A.; Frank, E.; Houck, P.R.; Mallinger, A.G.; Swartz, H.A.; Buysse, D.J.; Ombao, H.; Kupfer, D.J. Prevalence of obesity and weight change during treatment in patients with bipolar I disorder. J. Clin. Psychiatry 2002, 63, 528–533. [Google Scholar] [CrossRef] [PubMed]
  42. Hsu, J.H.; Chien, I.C.; Lin, C.H. Increased risk of ischemic heart disease in patients with bipolar disorder: A population-based study. J. Affect. Disord. 2021, 281, 721–726. [Google Scholar] [CrossRef] [PubMed]
  43. Ösby, U.; Brandt, L.; Correia, N.; Ekbom, A.; Sparén, P. Excess Mortality in Bipolar and Unipolar Disorder in Sweden. Arch. Gen. Psychiatry 2001, 58, 844–850. [Google Scholar] [CrossRef]
  44. Chan, J.K.N.; Wong, C.S.M.; Yung, N.C.L.; Chen, E.Y.H.; Chang, W.C. Excess mortality and life-years lost in people with bipolar disorder: An 11-year population-based cohort study. Epidemiol. Psychiatr. Sci. 2021, 30, e39. [Google Scholar] [CrossRef]
  45. Yapici Eser, H.; Kacar, A.S.; Kilciksiz, C.M.; Yalçinay-Inan, M.; Ongur, D. Prevalence and Associated Features of Anxiety Disorder Comorbidity in Bipolar Disorder: A Meta-Analysis and Meta-Regression Study. Front. Psychiatry 2018, 9, 229. [Google Scholar] [CrossRef]
  46. Merikangas, K.R.; Akiskal, H.S.; Angst, J.; Greenberg, P.E.; Hirschfeld, R.M.A.; Petukhova, M.; Kessler, R.C. Lifetime and 12-month prevalence of bipolar spectrum disorder in the National Comorbidity Survey replication. Arch. Gen. Psychiatry 2007, 64, 543–552. [Google Scholar] [CrossRef]
  47. Schiweck, C.; Arteaga-Henriquez, G.; Aichholzer, M.; Edwin Thanarajah, S.; Vargas-Cáceres, S.; Matura, S.; Grimm, O.; Haavik, J.; Kittel-Schneider, S.; Ramos-Quiroga, J.A.; et al. Comorbidity of ADHD and adult bipolar disorder: A systematic review and meta-analysis. Neurosci. Biobehav. Rev. 2021, 124, 100–123. [Google Scholar] [CrossRef]
  48. McElroy, S.L.; Frye, M.A.; Hellemann, G.; Altshuler, L.; Leverich, G.S.; Suppes, T.; Keck, P.E.; Nolen, W.A.; Kupka, R.; Post, R.M. Prevalence and correlates of eating disorders in 875 patients with bipolar disorder. J. Affect. Disord. 2011, 128, 191–198. [Google Scholar] [CrossRef]
  49. Regier, D.A.; Farmer, M.E.; Rae, D.S.; Locke, B.Z.; Keith, S.J.; Judd, L.L.; Goodwin, F.K. Comorbidity of mental disorders with alcohol and other drug abuse. Results from the Epidemiologic Catchment Area (ECA) Study. JAMA 1990, 264, 2511–2518. [Google Scholar] [CrossRef]
  50. Pedersen, D.D. PsychNotes: Clinical Pocket Guide, 4th ed.; F.A. Davis: Philadelphia, PA, USA, 2014; p. 243. [Google Scholar]
  51. Suominen, K.; Mantere, O.; Valtonen, H.; Arvilommi, P.; Leppämäki, S.; Paunio, T.; Isometsä, E. Early age at onset of bipolar disorder is associated with more severe clinical features but delayed treatment seeking. Bipolar Disord. 2007, 9, 698–705. [Google Scholar] [CrossRef]
  52. Jones, G.; Rong, C.; Vecera, C.M.; Gurguis, C.I.; Chudal, R.; Khairova, R.; Leung, E.; Ruiz, A.C.; Shahani, L.; Zanetti, M.V.; et al. The role of lithium treatment on comorbid anxiety symptoms in patients with bipolar depression. J. Affect. Disord. 2022, 308, 71–75. [Google Scholar] [CrossRef]
  53. Trevor Young, L.; Cooke, R.G.; Robb, J.C.; Levitt, A.J.; Joffe, R.T. Anxious and non-anxious bipolar disorder. J. Affect. Disord. 1993, 29, 49–52. [Google Scholar] [CrossRef] [PubMed]
  54. Frye, M.A.; Salloum, I.M. Bipolar disorder and comorbid alcoholism: Prevalence rate and treatment considerations. Bipolar Disord. 2006, 8, 677–685. [Google Scholar] [CrossRef] [PubMed]
  55. Pinto, J.V.; Saraf, G.; Kozicky, J.; Beaulieu, S.; Sharma, V.; Parikh, S.V.; Cervantes, P.; Daigneault, A.; Walji, N.; Kauer-Sant’Anna, M.; et al. Remission and recurrence in bipolar disorder: The data from health outcomes and patient evaluations in bipolar disorder (HOPE-BD) study. J. Affect. Disord. 2020, 268, 150–157. [Google Scholar] [CrossRef] [PubMed]
  56. Zhuang, Y.; Xing, J.J.; Li, J.; Zeng, B.Y.; Liang, F.R. History of acupuncture research. Int. Rev. Neurobiol. 2013, 111, 1–23. [Google Scholar]
  57. Li, Y. Acupuncture journey to America: A turning point in 1971. J. Tradit. Chin. Med. Sci. 2014, 1, 81–83. [Google Scholar] [CrossRef]
  58. Upchurch, D.M.; Rainisch, B.W. A sociobehavioral wellness model of acupuncture use in the United States, 2007. J. Altern. Complement. Med. 2014, 20, 32–39. [Google Scholar] [CrossRef]
  59. Chen, F.P.; Kung, Y.Y.; Chen, T.J.; Hwang, S.J. Demographics and patterns of acupuncture use in the Chinese population: The Taiwan experience. J. Altern. Complement. Med. 2006, 12, 379–387. [Google Scholar] [CrossRef]
  60. Wu, M.Y.; Lee, Y.C.; Lin, C.L.; Huang, M.C.; Sun, M.F.; Yen, H.R. Trends in use of acupuncture among adults in Taiwan from 2002 to 2011: A nationwide population-based study. PLoS ONE 2018, 13, e0195490. [Google Scholar] [CrossRef]
  61. Lee, I.S.; Jo, H.J.; Lee, S.H.; Lee, H.; Lee, H.; Park, H.J.; Chae, Y. Fear of acupuncture enhances sympathetic activation to acupuncture stimulation. Acupunct. Med. 2013, 31, 276–281. [Google Scholar] [CrossRef]
  62. Qin, W.; Tian, J.; Bai, L.; Pan, X.; Yang, L.; Chen, P.; Dai, J.; Ai, L.; Zhao, B.; Gong, Q.; et al. FMRI connectivity analysis of acupuncture effects on an amygdala-associated brain network. Mol. Pain 2008, 4, 55. [Google Scholar] [CrossRef] [PubMed]
  63. LeDoux, J. The emotional brain, fear, and the amygdala. Cell Mol. Neurobiol. 2003, 23, 727–738. [Google Scholar] [CrossRef] [PubMed]
  64. Strakowski, S.M.; Delbello, M.P.; Adler, C.M. The functional neuroanatomy of bipolar disorder: A review of neuroimaging findings. Mol. Psychiatry 2005, 10, 105–116. [Google Scholar] [CrossRef] [PubMed]
  65. Stubbs, B.; Eggermont, L.; Mitchell, A.J.; De Hert, M.; Correll, C.U.; Soundy, A.; Rosenbaum, S.; Vancampfort, D. The prevalence of pain in bipolar disorder: A systematic review and large-scale meta-analysis. Acta Psychiatr. Scand. 2015, 131, 75–88. [Google Scholar] [CrossRef] [PubMed]
  66. Leo, R.J.; Singh, J. Migraine headache and bipolar disorder comorbidity: A systematic review of the literature and clinical implications. Scand. J. Pain 2016, 11, 136–145. [Google Scholar] [CrossRef] [PubMed]
  67. Goesling, J.; Lin, L.A.; Clauw, D.L. Psychiatry and Pain Management: At the Intersection of Chronic Pain and Mental Health. Curr. Psychiatry Rep. 2018, 20, 12. [Google Scholar] [CrossRef] [PubMed]
  68. Manji, H.K.; Quiroz, J.A.; Payne, J.L.; Singh, J.; Lopes, B.P.; Viegas, J.S.; Zarate, C.A. The underlying neurobiology of bipolar disorder. World Psychiatry 2003, 2, 136–146. [Google Scholar] [PubMed]
  69. Kurita, M. Noradrenaline plays a critical role in the switch to a manic episode and treatment of a depressive episode. Neuropsychiatr. Dis. Treat. 2016, 12, 2373–2380. [Google Scholar] [CrossRef]
  70. Lee, M.; Schwab, C.; McGeer, P.L. Astrocytes are GABAergic cells that modulate microglial activity. Glia 2011, 59, 152–165. [Google Scholar] [CrossRef]
  71. Benedetti, F.; Poletti, S.; Hoogenboezem, T.A.; Locatelli, C.; de Wit, H.; Wijkhuijs, A.J.M.; Colombo, C.; Drexhage, H.A. Higher Baseline Proinflammatory Cytokines Mark Poor Antidepressant Response in Bipolar Disorder. J. Clin. Psychiatry 2017, 78, e986–e993. [Google Scholar] [CrossRef] [PubMed]
  72. Macone, A.; Otis, J.A.D. Neuropathic Pain. Semin. Neurol. 2018, 38, 644–653. [Google Scholar] [PubMed]
  73. World Health Organization. Acupuncture Review and Analysis of Reports on Controlled Clinical Trials; World Health Organization: Geneva, Switzerland, 2003; pp. iii–iv. [Google Scholar]
  74. Arnold, M.D.; Thornbrough, L.M. Treatment of musculoskeletal pain with traditional Chinese herbal medicine. Phys. Med. Rehabil. Clin. N. Am. 1999, 10, 663–671. [Google Scholar] [CrossRef] [PubMed]
  75. Chrubasik, J.E.; Roufogalis, B.D.; Chrubasik, S. Evidence of effectiveness of herbal antiinflammatory drugs in the treatment of painful osteoarthritis and chronic low back pain. Phytother. Res. 2007, 21, 675–683. [Google Scholar] [CrossRef] [PubMed]
  76. Cao, H.; Liu, J.; Lewith, G.T. Traditional Chinese Medicine for treatment of fibromyalgia: A systematic review of randomized controlled trials. J. Altern. Complement. Med. 2010, 16, 397–409. [Google Scholar] [CrossRef]
  77. Forouzanfar, F.; Hosseinzadeh, H. Medicinal herbs in the treatment of neuropathic pain: A review. Iran. J. Basic. Med. Sci. 2018, 21, 347–358. [Google Scholar]
  78. Gagnier, J.J.; Oltean, H.; van Tulder, M.W.; Berman, B.M.; Bombardier, C.; Robbins, C.B. Herbal Medicine for Low Back Pain: A Cochrane Review. Spine 2016, 41, 116–133. [Google Scholar] [CrossRef]
  79. Chen, L.; Michalsen, A. Management of chronic pain using complementary and integrative medicine. Bmj 2017, 357, j1284. [Google Scholar] [CrossRef] [PubMed]
  80. Luo, Y.; Wang, C.Z.; Sawadogo, R.; Tan, T.; Yuan, C.S. Effects of Herbal Medicines on Pain Management. Am. J. Chin. Med. 2020, 48, 1–16. [Google Scholar] [CrossRef] [PubMed]
  81. Finan, P.H.; Goodin, B.R.; Smith, M.T. The association of sleep and pain: An update and a path forward. J. Pain 2013, 14, 1539–1552. [Google Scholar] [CrossRef] [PubMed]
  82. Goldstein, B.I.; Kemp, D.E.; Soczynska, J.K.; McIntyre, R.S. Inflammation and the phenomenology, pathophysiology, comorbidity, and treatment of bipolar disorder: A systematic review of the literature. J. Clin. Psychiatry 2009, 70, 1078–1090. [Google Scholar] [CrossRef] [PubMed]
  83. Benedetti, F.; Aggio, V.; Pratesi, M.L.; Greco, G.; Furlan, R. Neuroinflammation in Bipolar Depression. Front. Psychiatry 2020, 11, 71. [Google Scholar] [CrossRef] [PubMed]
  84. Kim, Y.K.; Jung, H.G.; Myint, A.M.; Kim, H.; Park, S.H. Imbalance between pro-inflammatory and anti-inflammatory cytokines in bipolar disorder. J. Affect. Disord. 2007, 104, 91–95. [Google Scholar] [CrossRef] [PubMed]
  85. Kunz, M.; Ceresér, K.M.; Goi, P.D.; Fries, G.R.; Teixeira, A.L.; Fernandes, B.S.; Belmonte-de-Abreu, P.S.; Kauer-Sant’Anna, M.; Kapczinski, F.; Gama, C.S. Serum levels of IL-6, IL-10 and TNF-α in patients with bipolar disorder and schizophrenia: Differences in pro- and anti-inflammatory balance. Braz. J. Psychiatry 2011, 33, 268–274. [Google Scholar]
  86. Tian, B.; Tian, M.; Huang, S.M. Advances in phytochemical and modern pharmacological research of Rhizoma Corydalis. Pharm. Biol. 2020, 58, 265–275. [Google Scholar] [CrossRef]
  87. Wu, H.; Wang, P.; Liu, M.; Tang, L.; Fang, J.; Zhao, Y.; Zhang, Y.; Li, D.; Xu, H.; Yang, H. A 1H-NMR-Based Metabonomic Study on the Anti-Depressive Effect of the Total Alkaloid of Corydalis Rhizoma. Molecules 2015, 20, 10047–10064. [Google Scholar] [CrossRef]
  88. Henkes, H.; Franz, M.; Kendall, O.; Monroe, J.; Legaspi, A.; LeDoux, J.; Haese, C.; Williams, D.; McCall, S.; Johnson, A.D.; et al. Evaluation of the anxiolytic properties of tetrahydropalmatine, a Corydalis yanhusuo compound, in the male Sprague-Dawley rat. Aana J. 2011, 79 (Suppl. S4), S75–S80. [Google Scholar]
  89. Yuan, C.S.; Mehendale, S.R.; Wang, C.Z.; Aung, H.H.; Jiang, T.; Guan, X.; Shoyama, Y. Effects of Corydalis yanhusuo and Angelicae dahuricae on cold pressor-induced pain in humans: A controlled trial. J. Clin. Pharmacol. 2004, 44, 1323–1327. [Google Scholar] [CrossRef]
  90. Hermesdorf, M.; Berger, K.; Baune, B.T.; Wellmann, J.; Ruscheweyh, R.; Wersching, H. Pain Sensitivity in Patients with Major Depression: Differential Effect of Pain Sensitivity Measures. Somatic Cofactors, and Disease Characteristics. J. Pain 2016, 17, 606–616. [Google Scholar] [CrossRef]
  91. Michaelides, A.; Zis, A. Depression, anxiety and acute pain: Links and management challenges. Postgrad. Med. 2019, 131, 438–444. [Google Scholar] [CrossRef]
  92. Shu, H.; Arita, H.; Hayashida, M.; Zhang, L.; An, K.; Huang, W.; Hanaoka, K. Anti-hypersensitivity effects of Shu-jing-huo-xue-tang, a Chinese herbal medicine, in CCI-neuropathic rats. J. Ethnopharmacol. 2010, 131, 464–470. [Google Scholar] [CrossRef]
  93. Sonohata, M.; Furue, H.; Katafuchi, T.; Yasaka, T.; Doi, A.; Kumamoto, E.; Yoshimura, M. Actions of noradrenaline on substantia gelatinosa neurones in the rat spinal cord revealed by in vivo patch recording. J. Physiol. 2004, 555 Pt 2, 515–526. [Google Scholar] [CrossRef]
  94. Imanshahidi, M.; Hosseinzadeh, H. The pharmacological effects of Salvia species on the central nervous system. Phytother. Res. 2006, 20, 427–437. [Google Scholar] [CrossRef] [PubMed]
  95. Feng, L.M.; Chen, Y.Y.; Xu, D.Q.; Fu, R.J.; Yue, S.J.; Zhao, Q.; Huang, Y.X.; Bai, X.; Wang, M.; Xing, L.M.; et al. An integrated strategy for discovering effective components of Shaoyao Gancao decoction for treating neuropathic pain by the combination of partial least-squares regression and multi-index comprehensive method. J. Ethnopharmacol. 2020, 260, 113050. [Google Scholar] [CrossRef] [PubMed]
  96. He, H.; Chen, G.; Gao, J.; Liu, Y.; Zhang, C.; Liu, C.; Li, H.; He, Q.; Li, J.; Wang, J.; et al. Xue-Fu-Zhu-Yu capsule in the treatment of qi stagnation and blood stasis syndrome: A study protocol for a randomised controlled pilot and feasibility trial. Trials 2018, 19, 515. [Google Scholar] [CrossRef] [PubMed]
  97. Shergis, J.L.; Ni, X.; Sarris, J.; Zhang, A.L.; Guo, X.; Xue, C.C.; Lu, C.; Hugel, H. Ziziphus spinosa seeds for insomnia: A review of chemistry and psychopharmacology. Phytomedicine 2017, 34, 38–43. [Google Scholar] [CrossRef] [PubMed]
  98. Peng, W.H.; Hsieh, M.T.; Lee, Y.S.; Lin, Y.C.; Liao, J. Anxiolytic effect of seed of Ziziphus jujuba in mouse models of anxiety. J. EthnoPharmacol. 2000, 72, 435–441. [Google Scholar] [CrossRef] [PubMed]
  99. Chiao, Y.W.; Livneh, H.; Guo, H.R.; Chen, W.J.; Lu, M.C.; Lin, M.C.; Yeh, C.C.; Tsai, T.Y. Use of Chinese Herbal Medicines Is Related to a Reduction in Depression Risk Among Patients with Insomnia: A Matched Cohort Study. Front. Neurol. 2020, 11, 583485. [Google Scholar] [CrossRef]
  100. Yeh, C.H.; Arnold, C.K.; Chen, Y.H.; Lai, J.N. Suan zao ren tang as an original treatment for sleep difficulty in climacteric women: A prospective clinical observation. Evid. Based Complement. Altern. Med. 2011, 2011, 673813. [Google Scholar] [CrossRef]
  101. Zhou, Q.H.; Zhou, X.L.; Xu, M.B.; Jin, T.Y.; Rong, P.Q.; Zheng, G.Q.; Lin, Y. Suanzaoren Formulae for Insomnia: Updated Clinical Evidence and Possible Mechanisms. Front. Pharmacol. 2018, 9, 76. [Google Scholar] [CrossRef]
  102. Gao, J.; Wang, Q.; Huang, Y.; Tang, K.; Yang, X.; Cao, Z. In Silico Study of Anti-Insomnia Mechanism for Suanzaoren Prescription. Front. Pharmacol. 2019, 10, 925. [Google Scholar] [CrossRef]
  103. Chen, F.P.; Jong, M.S.; Chen, Y.C.; Kung, Y.Y.; Chen, T.J.; Chen, F.J.; Hwang, S.J. Prescriptions of Chinese Herbal Medicines for Insomnia in Taiwan during 2002. Evid Based Complement Altern. Med. 2011, 2011, 236341. [Google Scholar] [CrossRef] [PubMed]
  104. Yang, X.Q.; Liu, L.; Ming, S.P.; Fang, J.; Wu, D.N. Tian Wang Bu Xin Dan for Insomnia: A Systematic Review of Efficacy and Safety. Evid. Based Complement. Altern. Med. 2019, 2019, 4260801. [Google Scholar] [CrossRef] [PubMed]
  105. Zhang, Z.J.; Kang, W.H.; Tan, Q.R.; Li, Q.; Gao, C.G.; Zhang, F.G.; Wang, H.H.; Ma, X.C.; Chen, C.; Wang, W.; et al. Adjunctive herbal medicine with carbamazepine for bipolar disorders: A double-blind, randomized, placebo-controlled study. J. Psychiatr. Res. 2007, 41, 360–369. [Google Scholar] [CrossRef] [PubMed]
  106. Tsai, H.C.; Lu, M.K.; Yang, Y.K.; Huang, M.C.; Yeh, T.L.; Chen, W.J.; Lu, R.B.; Kuo, P.H. Empirically derived subgroups of bipolar I patients with different comorbidity patterns of anxiety and substance use disorders in Han Chinese population. J. Affect. Disord. 2012, 136, 81–89. [Google Scholar] [CrossRef] [PubMed]
Healthcare 12 00490 g001
Figure 1. Flowchart of the sample selection procedure.
Figure 1. Flowchart of the sample selection procedure.
Healthcare 12 00490 g001
Table 1. Demographic characteristics and comorbidities of patients with bipolar disorder who did and did not receive traditional Chinese medicine treatment in Taiwan during 1996–2012.
Table 1. Demographic characteristics and comorbidities of patients with bipolar disorder who did and did not receive traditional Chinese medicine treatment in Taiwan during 1996–2012.
VariableTotalNon-TCMTCMp-Value
N = 2372n = 1053 (44.4)n = 1319 (55.6)
Mean ± SD aMean ± SD a
Age (year) * 48.2 ± 19.044.3 ± 16.8<0.0001
Nn (%)n (%)
   15–39996410 (38.9)586 (44.4)
   40–64942399 (37.9)543 (41.2)
   ≥65434244 (23.2)190 (14.4)
Gender * <0.0001
   Female1091386 (36.7)705 (53.4)
   Male1281667 (63.3)614 (46.6)
Follow-up duration (year) a 8.6 ± 4.88.3 ± 4.30.1644
Comorbidities *
   Diabetes mellitus328149 (14.2)179 (13.6)0.6847
   Hypertension576261 (24.8)315 (23.9)0.6097
   Hyperlipidemia376165 (15.7)211 (16.0)0.8282
   Ischemic heart disease7432 (3.0)42 (3.2)0.8397
   COPD492205 (19.5)287 (21.8)0.1716
   Anxiety639218 (20.7)421 (31.9)<0.0001
   Attention-deficit disorder125 (0.5)7 (0.5)0.8489
   Eating disorder, unspecified31(0.1)2 (0.2)0.6997
   Bulimia nervosa71(0.1)6 (0.5)0.1084
   Alcoholism10735 (3.3)72 (5.5)0.0128
   Tobacco use267(0.7)19 (1.4)0.0714
   Obesity186(0.6)12 (0.9)0.3431
Medications *
   Lithium carbonate486128 (12.2)358 (27.1)<0.0001
   Carbamazepine413141 (13.4)272 (20.6)<0.0001
   Valproic acid523152 (14.4)371 (28.1)<0.0001
   Lamotrigine5621 (2.0)35 (2.7)0.2934
   Topiramate267 (0.7)19 (1.4)0.0714
   Aripiprazole230 (0.0)23 (1.7)<0.0001
   Loxapine3921 (2.0)18 (1.4)0.2309
Chinese herbal medicine
   Herb1043-1043 (79.1)-
   Formula1155-1155 (87.6)-
   Acupuncture120-120 (9.1)-
* Chi-square test. a Student’s t-test. Abbreviations: BD, bipolar disorder; COPD, chronic obstructive pulmonary disease; TCM, traditional Chinese medicine.
Table 2. Top 10 indications for traditional Chinese medicine and acupuncture treatments for patients with bipolar disorder in Taiwan during 1996–2012.
Table 2. Top 10 indications for traditional Chinese medicine and acupuncture treatments for patients with bipolar disorder in Taiwan during 1996–2012.
No.Internal Medicine of TCMAcupuncture
ICD-9-CMIndicationFrequencyICD-9-CMIndicationFrequency
1780.5Sleep disturbances470719.4Pain in joint20
2719.4Pain in joint315729.1Myalgia and myositis, unspecified18
3460Acute nasopharyngitis 240724.2Lumbago15
4729.1Myalgia and myositis, unspecified236924.1Contusion of knee and lower leg11
5724.2Lumbago212845.0Ankle sprain8
6786.2Cough182840.9Sprains and strains of unspecified site of the shoulder and upper arm7
7784.0Headache180923.1Contusion of elbow and forearm7
8924.2Contusion of ankle and foot excluding toe(s)131923.2Contusion of wrist and hand(s) except finger(s) alone7
9847.2Sprain of lumbar127844.9Sprains and strains of unspecified site of the knee and leg6
10564.0Constipation118724.5Backache, unspecified5
Table 3. Top 10 most common Chinese herbal medicines prescribed to patients with bipolar disorder in Taiwan during 1996–2012.
Table 3. Top 10 most common Chinese herbal medicines prescribed to patients with bipolar disorder in Taiwan during 1996–2012.
No.Single HerbHerbal Formula
Pin-Yin Name (Latin Name)FrequencyPin-Yin NameFrequency
1Yanhusuo (Corydalis yanhusuo W. T. Wang)347Shu-Jing-Huo-Xue-Tang357
2Danshen (Salvia miltiorrhiza Bunge)297Jia-Wei-Xiao-Yao-San347
3Huangqin (Scutellaria baicalensis Georgi)241Shao-Yao-Gan-Cao-Tang312
4Gegen (Pueraria lobate)215Suan-Zao-Ren-Tang261
5Jiegeng (Platycodon grandiflorum)209Ge-Gen-Tang255
6Gancao (Glycyrrhiza uralensis Fisch.)197Xue-Fu-Zhu-Yu-Tang231
7Suanzaoren (Ziziphus jujube Mill. var. spinosa)197Tian-Wang-Bu-Xin-Dan216
8Duzhong (Eucommis ulmoidea Oliv.)191Chai-Hu-Jia-Long-Gu-Mu-Li-Tang213
9Dahuang (Rheum palmatum L.)189Gan-Mai-Da-Zao-Tang210
10Baizhi (Angelica dahurica) 187Chuan-Xiong-Cha-Tiao-San207
Table 4. Top 10 most common Chinese herbal medicines prescribed to patients with sleep disturbances after the diagnosis of bipolar disorder in Taiwan during 1996–2012.
Table 4. Top 10 most common Chinese herbal medicines prescribed to patients with sleep disturbances after the diagnosis of bipolar disorder in Taiwan during 1996–2012.
No.Single HerbHerbal Formula
Pin-Yin Name (Latin Name)FrequencyPin-Yin NameFrequency
1Yejiaoteng (Polygonum multiflorumThunb)376Suan-Zao-Ren-Tang495
2Yuanzhi (Polygala tenuifolia Willd)269Chai-Hu-Jia-Long-Gu-Mu-Li-Tang404
3Suanzaoren (Ziziphus jujuba Mill.)267Tian-Wang-Bu-Xin-Dan387
4Fushen (PoriaCocos Sclerotium)258Gan-Mai-Da-Zao-Tang351
5Hehuanpi (Albizia julibrissin sensu Baker.)216Jia-Wei-Xiao-Yao-San319
6Danshen (Salvia miltiorrhiza Bge.)195Wen-Dan-Tang270
7Botsujen (Platycladus orientalis (L.) Franco)157Gui-Pi-Tang145
8Gegen (Pueraria lobata (Willd.) Ohwi)133Jia-Wei-Xiao-Yao-San137
9Huanglian (Coptis chinensis Franch.)129Long-Dan-Xie-Gan-Tang100
10Shichangpu (Acorus gramineus Soland.)125Liu-Wei-Di-Huang-Wan98
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Chen, S.-P.; Yang, S.-T.; Hu, K.-C.; Satyanarayanan, S.K.; Su, K.-P. Usage Patterns of Traditional Chinese Medicine for Patients with Bipolar Disorder: A Population-Based Study in Taiwan. Healthcare 2024, 12, 490. https://doi.org/10.3390/healthcare12040490

AMA Style

Chen S-P, Yang S-T, Hu K-C, Satyanarayanan SK, Su K-P. Usage Patterns of Traditional Chinese Medicine for Patients with Bipolar Disorder: A Population-Based Study in Taiwan. Healthcare. 2024; 12(4):490. https://doi.org/10.3390/healthcare12040490

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Chen, Shu-Ping, Su-Tso Yang, Kai-Chieh Hu, Senthil Kumaran Satyanarayanan, and Kuan-Pin Su. 2024. "Usage Patterns of Traditional Chinese Medicine for Patients with Bipolar Disorder: A Population-Based Study in Taiwan" Healthcare 12, no. 4: 490. https://doi.org/10.3390/healthcare12040490

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