Health related misinformation can have devastating effects on individuals, their family and society at large. Although many great initiatives against misinformation exist, the problem remains unsolved to date. This white paper aims to better understand the causes & drivers of creating, distributing and consuming health misinformation. For this, key psychological and technological biases are analyzed regarding their impact on the consumption and distribution of health misinformation in social networks. Further their interplay with different solution approaches, namely the flagging & removal of misinformation versus the highlighting of high quality information, is explored. Following the research recommendations of public health authorities like the WHO, the TRUSTMEDICOS project strives to contribute to solving this problem with a transparent blockchain based trust and reputation model that uses a reporting & reviewing mechanism conducted by social network users and trusted health experts. The developed solution concept design and our research findings are presented and their potential to support the fight against misinformation is discussed.