Editorial: Complementary and alternative therapy for pain disorders: from bench to clinical practice
Bibliographic record
Abstract
Pain disorders are a widespread clinical concern, affecting millions globally and leading to diminished quality of life and reduced productivity [1]. While pharmacological treatments remain a cornerstone in pain management, they often present challenges, such as adverse side effects, drug tolerance, and insufficient relief for certain patients [2]. These limitations have led to a growing exploration of complementary and alternative therapies (CATs) as non-pharmacological solutions for pain [3]. This editorial consists of 17 recent studies authored by 149 researchers from five countries, highlighting the role of CATs-including acupuncture, yoga, and cupping-in addressing pain disorders. The discussion covers key aspects of CATs, such as their underlying mechanisms, clinical efficacy, and integration into conventional medical practice.Understanding the underlying mechanisms of CATs is essential for their broader acceptance in clinical practice. Huang et al. investigated acupuncture's effects on chronic spontaneous urticaria using functional MRI, identifying alterations in brain network function that may underlie its therapeutic effects [4]. Similarly, Ye et al.explored the role of astrocyte activation in the somatosensory cortex as a mechanism for electroacupuncture's analgesic effects in acid-induced pain, providing a novel insight into how acupuncture may modulate pain pathways at the neurobiological level [5].Several studies have assessed the efficacy of various CATs across different pain conditions, highlighting both potential benefits and areas where further research is needed. Wang et al. performed an evidence-mapping study on cupping therapy, which suggested that cupping may have beneficial effects on pain, although the overall quality of evidence was varied, ranging from low to moderate [6]. Ko et al. investigated the impact of acupuncture on pain and substance P levels in middle-aged women with chronic neck pain, demonstrating significant pain reduction and highlighting acupuncture's potential role in modulating neuropeptides associated with pain perception [7]. Additionally, Zhang et al. reviewed systematic reviews on yoga for chronic low back pain, finding that yoga can be an effective and safe intervention, though the quality of the evidence was inconsistent [8].Research has also focused on the application of CATs in specific patient populations, enhancing our understanding of their practical use in clinical settings. Zhang et al. studied auricular acupuncture as an adjunct for postoperative pain management in patients undergoing total knee arthroplasty (TKA) [9]. Their findings indicated significant reductions in postoperative pain and inflammation, supporting the use of acupuncture as a complementary therapy in surgical recovery. Liu et al. conducted a network meta-analysis to compare various acupuncture modalities combined with multimodal analgesia for post-TKA pain [10]. This study demonstrated that these combined approaches offer superior pain relief and functional outcomes compared to multimodal analgesia alone, suggesting a beneficial role for acupuncture in enhancing postoperative pain management.The Alberta Complementary Health Integration Project (ABCHIP) provided real-world evidence on the integration of acupuncture in treating pain and mental health concerns in vulnerable populations, such as youth and the elderly. Results indicated significant improvements in pain severity, sleep quality, and mental health measures, underscoring the potential of acupuncture as part of a holistic approach to patient care [11].Beyond traditional applications, CATs are being explored for their potential benefits in managing complex conditions such as cancer-related pain and neurological disorders. Zhou et al. conducted a systematic review and meta-analysis on acupuncture point stimulation for stomach cancer pain, finding it to be more effective than standard medication-based approaches, thus supporting its use in oncology settings [12]. Additionally, Zhang et al. detailed a protocol for a systematic review of fire needle therapy for cancer pain, aiming to clarify its efficacy and safety as an adjunctive treatment for cancer-related pain management [13]. Wang et al. explored the efficacy of acupuncture in managing facial nerve edema in patients with acute Bell's palsy, contributing to the understanding of acupuncture's role in acute neuropathic pain conditions [14].Osteoarthritis, particularly knee osteoarthritis (KOA), is a common chronic pain condition where CATs have shown potential benefits. Zhao et al. outlined a study protocol to evaluate the effectiveness of acupuncture and tuina in managing KOA, addressing the controversy surrounding their clinical application by providing structured evidence on short-and long-term outcomes [15]. Qiu et al. proposed combining catgut embedding in acupoints with repetitive transcranial magnetic stimulation for treating postmenopausal osteoporosis, offering an innovative approach that merges neurostimulation with traditional therapies to address both pain and bone health [16].The intersection of pain management and mental health is increasingly recognized, with studies exploring how CATs can address both domains simultaneously. Lu et al.from the Alberta Complementary Health Integration Project highlighted the benefits of acupuncture in alleviating pain and improving mental health outcomes in a diverse patient population, demonstrating significant reductions in pain severity, anxiety, and depressive symptoms [17]. Xiong et al.'s systematic review on acupuncture for myofascial pain syndrome confirmed its effectiveness in reducing pain, suggesting the need for further studies to optimize treatment protocols for best results [18].
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.023 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.028 | 0.018 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".