Department of Pathology and Diagnostics, University of Verona, 37134 Verona, Italy.
Complement Ther Med. 2013 Dec;21(6):750-61. doi: 10.1016/j.ctim.2013.09.001. Epub 2013 Sep 8.
The use of drugs in high dilutions and the principle of similarity (or "similia") are two basic tenets of homeopathy. However, the plausibility of both is a subject of debate. Although several models have been proposed to explain the similia principle, it can be best understood and appreciated in the framework of complexity science and dynamic systems theory. This work applies a five-node Boolean network to show how self-organization and adaptation are relevant to rationalizing this traditional medical principle. Simulating the trajectories and attractors of the network system in the energy state-space provides a rudimentary and qualitative illustration of how targeted external perturbations can have pathological effects, leading to permanent, self-sustaining alterations. Similarly, changes that conversely enable the system to find its way back to the original state can induce therapeutic effects, by causing specific shifts in attractors when suitable conditions are satisfied. Extrapolating these mechanisms to homeopathy, we can envisage how major changes in the evolution of homeodynamic systems (and, eventually, healing of the entire body) can be achieved through carefully selected remedies that reproduce the whole symptom pattern of the ill state.
药物的高稀释使用和相似性（或“相似”）原则是顺势疗法的两个基本原理。然而，两者的合理性都是一个有争议的话题。尽管已经提出了几种模型来解释相似性原则，但在复杂性科学和动态系统理论的框架内，它可以得到最好的理解和欣赏。这项工作应用了一个五节点布尔网络，以展示自我组织和适应如何与合理化这一传统医学原理相关。在能量状态空间中模拟网络系统的轨迹和吸引子，为如何有针对性地外部干扰会产生病理效应，导致永久性、自我维持的改变提供了一个基本的、定性的说明。同样，当满足适当的条件时，能够使系统返回到原始状态的变化也可以通过在吸引子上引起特定的转变来产生治疗效果。将这些机制推断到顺势疗法中，我们可以设想，通过精心选择的补救措施，如何实现顺势动力系统的演变中的重大变化（最终，整个身体的治愈），这些补救措施可以再现疾病状态的整个症状模式。
