Opioid Use Disorder: Epidemiology Forecast to 2027

Opioid use disorder (OUD) is defined in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) as a problematic pattern of opioid use leading to clinically significant impairment or distress. Symptoms of OUD include strong desire for opioids, inability to control or reduce use, continued use despite interference with major obligations or social functioning, use of larger amounts over time, development of tolerance, spending a great deal of time to obtain and use opioids, and withdrawal symptoms that occur after stopping or reducing use, such as negative mood, nausea or vomiting, muscle aches, diarrhea, fever, and insomnia.

This epidemiology forecast for OUD is supported by historical data obtained from peer-reviewed articles and population-based studies. These sources used questionnaires and various diagnostic measures to assess OUD symptoms across the 8MM. The forecast methodology was kept consistent across the 8MM to allow for a meaningful comparison of the prevalent cases of OUD across these markets.

In the 8MM, the one-year total prevalent cases of POUD are expected to increase from 2,591,532 cases in 2017 to 2,780,928 cases in 2027, at an Annual Growth Rate (AGR) of 0.73%. In 2027, the US will have the highest number of one-year total prevalent cases of POUD in the 8MM with 2,477,169 one-year total prevalent cases, whereas Belgium will have the fewest number of one-year total prevalent cases with 4,386 cases. In the 8MM, the one-year total prevalent cases of NMPOUD are expected to increase from 3,155,863 cases in 2017 to 3,292,724 cases in 2027, at an AGR of 0.43%.

Scope

The Opioid Use Disorder (OUD) Epidemiology Report and Model provide an overview of the risk factors and global trends of OUD in the eight major markets (8MM: US, Canada, Australia, Germany, Austria, Denmark, Switzerland, and Belgium).

This report also provides a 10-year epidemiological forecast for the one-year total prevalent cases (including both diagnosed and undiagnosed) of prescription opioid use disorder (POUD) and non-medical prescription opioid use disorder (NMPOUD) segmented by sex, age, and severity (mild, moderate, and severe) in the 8MM.

The OUD epidemiology report and model were written and developed by Masters- and PhD-level epidemiologists.

 The Epidemiology Report is in-depth, high quality, transparent and market-driven, providing expert analysis of disease trends in the 8MM.

 The Epidemiology Model is easy to navigate, interactive with dashboards, and epidemiology-based with transparent and consistent methodologies. Moreover, the model supports data presented in the report and showcases disease trends over a 10-year forecast period using reputable sources.

Reasons to buy

The OUD Epidemiology series will allow you to:

Develop business strategies by understanding the trends shaping and driving the global OUD market.

Quantify patient populations in the global OUD market to improve product design, pricing, and launch plans.

Organize sales and marketing efforts by identifying the age groups and sex that present the best opportunities for OUD therapeutics in each of the markets covered.

Understand magnitude of OUD severity segments.

Table of Contents

1 Table of Contents

1.1 List of Tables

1.2 List of Figures

2 Opioid Use Disorder: Executive Summary

2.1 Related Reports

2 ...

1 Table of Contents

1.1 List of Tables

1.2 List of Figures

2 Opioid Use Disorder: Executive Summary

2.1 Related Reports

2.2 Upcoming Reports

3 Epidemiology

3.1 Disease Background

3.2 Risk Factors and Comorbidities

3.3 Global and Historical Trends

3.4 Forecast Methodology

3.4.1 Sources

3.4.2 Forecast Assumptions and Methods – Population

3.4.3 Forecast Assumptions and Methods – One-Year Total Prevalent Cases of POUD

3.4.4 Forecast Assumptions and Methods – One-Year Total Prevalent Cases of POUD by Severity

3.4.5 Forecast Assumptions and Methods – One-Year Total Prevalent Cases of NMPOUD

3.4.6 Forecast Assumptions and Methods – One-Year Total Prevalent Cases of NMPOUD by Severity

3.5 Epidemiological Forecast for POUD (2017–2027)

3.5.1 One-Year Total Prevalent Cases of POUD

3.5.2 One-Year Total Prevalent Cases of NMPOUD

3.5.3 Age-Specific One-Year Total Prevalent Cases of POUD

3.5.4 Age-Specific One-Year Total Prevalent Cases of NMPOUD

3.5.5 Sex-Specific One-Year Total Prevalent Cases of POUD

3.5.6 Sex-Specific One-Year Total Prevalent Cases of NMPOUD

3.5.7 One-Year Total Prevalent Cases of POUD by Severity

3.5.8 One-Year Total Prevalent Cases of NMPOUD by Severity

3.6 Discussion

3.6.1 Epidemiological Forecast Insight

3.6.2 Limitations of the Analysis

3.6.3 Strengths of the Analysis

4 Appendix

4.1 Bibliography

4.2 About the Authors

4.2.1 Epidemiologist

4.2.2 Reviewers

4.2.3 Global Director of Therapy Analysis and Epidemiology

4.2.4 Global Head and EVP of Healthcare Operations and Strategy

4.3 About GlobalData

4.4 Contact Us

4.5 Disclaimer

List of Tables

Table 1: Risk Factors and Comorbid Conditions Associated with OUD

Table 1: Risk Factors and Comorbid Conditions Associated with OUD

List of Figures

Figure 1: One-Year Total Prevalent Cases of POUD, Both Sexes, All Ages, N, 2017 and 2027

Figure 2: One-Year Total Prevalent Cases of NMPOUD, Both ...

Figure 1: One-Year Total Prevalent Cases of POUD, Both Sexes, All Ages, N, 2017 and 2027

Figure 2: One-Year Total Prevalent Cases of NMPOUD, Both Sexes, All Ages, N, 2017 and 2027

Figure 3: 8MM, Age-Standardized One-Year Total Prevalence of POUD (%), Both Sexes, All Ages, 2017

Figure 4: 8MM, Age-Standardized One-Year Total Prevalence of NMPOUD (%), Both Sexes, All Ages, 2017

Figure 5: 8MM, Sources Used to Forecast the One-Year Total Prevalent Cases of POUD

Figure 6: 8MM, Sources Used to Forecast the One-Year Total Prevalent Cases of POUD by Severity

Figure 7: 8MM, Sources Used and Not Used to Forecast the One-Year Total Prevalent Cases of NMPOUD

Figure 8: 8MM, Sources Used to Forecast the One-Year Total Prevalent Cases of NMPOUD by Severity

Figure 9: 8MM, One-Year Total Prevalent Cases of POUD, Both Sexes, All Ages, N, 2017

Figure 10: 8MM, One-Year Total Prevalent Cases of NMPOUD, Both Sexes, All Ages, N, 2017

Figure 11: 8MM, Age-Specific One-Year Total Prevalent Cases of POUD, Both Sexes, All Ages, N, 2017

Figure 12: 8MM, Age-Specific One-Year Total Prevalent Cases of NMPOUD, Both Sexes, All Ages, N, 2017

Figure 13: 8MM, Sex-Specific One-Year Total Prevalent Cases of POUD, All Ages, N, 2017

Figure 14: 8MM, Sex-Specific One-Year Total Prevalent Cases of NMPOUD, All Ages, N, 2017

Figure 15: 8MM, One-Year Total Prevalent Cases by Severity of POUD, Both Sexes, All Ages, N, 2017

Figure 16: 8MM, One-Year Total Prevalent Cases by Severity of NMPOUD, Both Sexes, All Ages, N, 2017

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