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Historical Context

Historically, mental illness and addiction have been misunderstood and stigmatized. For much of history, these conditions were seen as moral failings or character flaws rather than medical issues. This has led to a persistent stigma that continues to influence societal attitudes.

Lack of Awareness and Education

There is still a significant lack of awareness and education about mental health and addiction. Many people do not understand that these conditions are medical issues that require treatment, just like physical illnesses. This lack of understanding contributes to negative attitudes and discrimination.

Media Representation

Media often portrays mental illness and addiction in a negative light, reinforcing stereotypes and misconceptions. These portrayals can shape public perception and contribute to the stigma surrounding these conditions.

Criminalization

Addiction, in particular, has been heavily criminalised. This has led to a perception of addiction as a criminal issue rather than a health issue, further entrenching stigma and discrimination.

Internalised Stigma

Individuals with mental illness or addiction often internalise the stigma they experience, leading to feelings of shame and low self-worth. This can prevent them from seeking help and support, perpetuating the cycle of stigma and discrimination.

Healthcare System

Even within the healthcare system, biases and stigma can affect the quality of care provided to individuals with mental illness or addiction. This can lead to inadequate treatment and support, further exacerbating the issue.

Social and Cultural Factors

Social and cultural factors also play a role in how mental illness and addiction are perceived. Different cultures have varying attitudes towards these conditions, which can influence how they are treated and supported.

The differential treatment of treatment-resistant substance use disorder (SUD) and treatment-resistant cancer by society can be attributed to several factors:

1. Perception of Control

Substance use disorders are often perceived as a result of personal choices or moral failings, whereas cancer is seen as an uncontrollable disease. This perception leads to stigma and blame towards individuals with SUD, while those with cancer are more likely to receive sympathy and support.

2. Historical Stigma

Historically, substance use has been stigmatised and criminalised, leading to a societal view that addiction is a choice rather than a medical condition. In contrast, cancer has been recognized as a medical condition requiring treatment and compassion.

3. Media Representation

Media often portrays substance use in a negative light, emphasising criminality and moral failure. Cancer, on the other hand, is often depicted with empathy and urgency, highlighting the need for medical intervention and support.

4. Healthcare System

The healthcare system has historically been more equipped to handle cancer treatment, with extensive research, funding, and specialized care. SUD treatment has lagged behind, with fewer resources and less comprehensive care options.

5. Complexity of Treatment

Treatment-resistant SUD involves complex psychological, social, and biological factors, making it challenging to treat effectively. Cancer treatment resistance, while also complex, has seen significant advancements in research and technology, leading to more effective treatments.

6. Social and Cultural Factors

Cultural attitudes towards substance use and addiction vary widely, with some societies viewing it as a personal failing. Cancer is generally viewed more universally as a disease that requires medical intervention.

REFERENCES

Substance Use Disorder and Stigma

Australian Government Department of Health and Aged Care. (2024). Initiatives and programs. Retrieved from https://www.health.gov.au/about-us/what-we-do/initiatives-and-programs

Morrison, A. P., Birchwood, M., Pyle, M., Flach, C., Stewart, S. L. K., Byrne, R., Patterson, P., Jones, P. B., Fowler, D., & Gumley, A. I. (2013). Impact of cognitive therapy on internalised stigma in people with at-risk mental states. The British Journal of Psychiatry, 203(2), 140-145. https://doi.org/10.1192/bjp.bp.112.112110

Wood, L., Byrne, R., Burke, E., Enache, G., & Morrison, A. P. (2017). The impact of stigma on emotional distress and recovery from psychosis: The mediatory role of internalised shame and self-esteem. Retrieved from https://repository.essex.ac.uk/21927/1/woodpr2017.pdf

Cancer Treatment and Stigma

American Cancer Society. (2023). Cancer treatment and survivorship. Retrieved from https://www.cancer.org/treatment/treatments-and-side-effects.html

National Cancer Institute. (2022). Cancer treatment (PDQ)–Patient version. Retrieved from https://www.cancer.gov/types/treatment-pdq/patient/cancer-treatment-pdq

World Health Organization. (2021). Cancer treatment and palliative care. Retrieved from https://www.who.int/cancer/prevention/diagnosis-screening/cancer-treatment-palliative-care/en/

Unhelpful Cognitions

Mental Filter: This thinking style involves a “filtering in” and “filtering out” process – a sort of “tunnel vision”, focusing on only one part of a situation and ignoring the rest. Usually this means looking at the negative parts of a situation and forgetting the positive parts, and the whole picture is coloured by what may be a single negative detail.

Jumping to Conclusions: We jump to conclusions when we assume that we know what someone else is thinking (mind reading) and when we make predictions about what is going to happen in the future (predictive thinking).

Mind reading: Is a habitual thinking pattern characterized by expecting others to know what you’re thinking without having to tell them or expecting to know what others are thinking without them telling you. This is very common, and most people can identify. Oftentimes, when we are telling someone a story about an interaction, we’ve had with someone else, we will make mind reading assumptions without actually having fact or evidence e.g., “They haven’t phoned me in two weeks so they must be angry with me for cancelling on them last week.”

Personalisation: This involves blaming yourself for everything that goes wrong or could go wrong, even when you may only be partly responsible or not responsible at all. You might be taking 100% responsibility for the occurrence of external events. It can also involve blaming someone else for something for which they have no responsibility. This can often occur when setting a boundary with someone and you take responsibility for their guilt or anger.

Catastrophising: Catastrophising occurs when we “blow things out of proportion” and we view the situation as terrible, awful, dreadful, and horrible, even though the reality is that the problem itself may be quite small.

Black & White Thinking: Also known as splitting, dichotomous thinking, and all-or-nothing thinking, involves seeing only one side or the other (the positives or the negatives, for example). You are either wrong or right, good or bad and so on. There are no in-betweens or shades of grey.

Should-ing and Must-ing: Sometimes by saying “I should…” or “I must…” you can put unreasonable demands or pressure on yourself and others. Although these statements are not always unhelpful (e.g., “I should not get drunk and drive home”), they can sometimes create unrealistic expectations.

Should-ing and must-ing can be a psychological distortion because it can “deny reality” e.g., I shouldn’t have had so much to drink last night. This is helpful in the sense that it communicates to us that we have exceeded our boundaries, however, saying “shouldn’t” about a past situation can be futile because it cannot be changed.

Overgeneralisation: When we overgeneralise, we take one instance in the past or present, and impose it on all current or future situations. If we say, “You always…” or “Everyone…”, or “I never…” then we are probably overgeneralising.

Labelling: We label ourselves and others when we make global statements based on behaviour in specific situations. We might use this label even though there are many more examples that are not consistent with that label. Labelling is a cognitive distortion whereby we take one characteristic of a person/group/situation and apply it to the whole person/group/situation. Example: “Because I failed a test, I am a failure” or “Because she is frequently late to work, she is irresponsible”.

Emotional Reasoning: This thinking style involves basing your view of situations or yourself on the way you are feeling. For example, the only evidence that something bad is going to happen is that you feel like something bad is going to happen. Emotions and feelings are real however they are not necessarily indicative of objective truth or fact.

Magnification and Minimisation: In this thinking style, you magnify the positive attributes of other people and minimise your own positive attributes. Also known as the binocular effect on thinking. Often it means that you enlarge (magnify) the positive attributes of other people and shrink (minimise) your own attributes, just like looking at the world through either end of the same pair of binoculars.

(CCI, 2008)

Overall Global Leading Cause of Death

• Ischemic heart disease (coronary artery disease) – Still the #1 cause of death worldwide.
• Followed by: Stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infections, and cancer (e.g., lung, liver, colorectal).

Breakdown by Category

By Age

By Gender/Sex

By Race/Ethnicity (Example: United States)

Note: Disparities arise from systemic inequalities, access to care, and social determinants of health.

By Sexuality (LGBTQ+)

• Limited global data, but in many regions:
  • Higher risk of suicide, mental health disorders, substance abuse, HIV/AIDS (especially among MSM and trans women).
  • Discrimination and healthcare avoidance contribute to worsened outcomes.
• Common causes of death still include heart disease and cancer, with higher rates of premature death linked to stigma and healthcare disparities.

By Geographic Region

By Profession

• Agricultural/farm workers: High injury rates, pesticide exposure, suicide
• Construction workers: Falls, injuries, exposure to toxins (e.g., asbestos)
• Healthcare workers: Infectious disease, burnout, mental health risks
• Military/first responders: Combat-related injuries, PTSD, suicide
• Office workers: Sedentary lifestyle risks (heart disease, diabetes)

Occupation-linked deaths often relate to environmental exposures, physical risks, or psychological stressors.

Conclusion:

Across almost all demographics, heart disease remains the leading cause of death, followed by cancer, stroke, and—in certain populations—accidents, suicide, or infectious diseases. However, the underlying causes (social, economic, political) differ significantly based on identity, geography, and profession.

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