The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Alcohol, Cannabis, and Opioid Use Disorders, and Disease Burden in an Integrated Health Care System
Open accessAbstract
OBJECTIVES: We examined prevalence of major medical conditions and extent of disease burden among patients with and without substance use disorders (SUDs) in an integrated health care system serving 3.8 million members. METHODS: Medical conditions and SUDs were extracted from electronic health records in 2010. Patients with SUDs (n = 45,461; alcohol, amphetamine, barbiturate, cocaine, hallucinogen, and opioid) and demographically matched patients without SUDs (n = 45,461) were compared on the prevalence of 19 major medical conditions. Disease burden was measured as a function of 10-year mortality risk using the Charlson Comorbidity Index. P-values were adjusted using Hochberg's correction for multiple-inference testing within each medical condition category. RESULTS: The most frequently diagnosed SUDs in 2010 were alcohol (57.6%), cannabis (14.9%), and opioid (12.9%). Patients with these SUDs had higher prevalence of major medical conditions than non-SUD patients (alcohol use disorders, 85.3% vs 55.3%; cannabis use disorders, 41.9% vs 23.0%; and opioid use disorders, 44.9% vs 26.1%; all P < 0.001). Patients with these SUDs also had higher disease burden than non-SUD patients; patients with opioid use disorders (M = 0.48; SE = 1.46) had particularly high disease burden (M = 0.23; SE = 0.09; P < 0.001). CONCLUSIONS: Common SUDs, particularly opioid use disorders, are associated with substantial disease burden for privately insured individuals without significant impediments to care. This signals the need to explore the full impact SUDs have on the course and outcome of prevalent conditions and initiate enhanced service engagement strategies to improve disease burden.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“individuals receiving integrated care experience enhanced treatment engagement, reduced substance use, improved mental health, and an overall better quality of life [20,21].”
From Navigating the Complex Intersection of Substance Use and Psychiatric Disorders: A Comprehensive Review (2024) · cites this paper as [20]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Whiteford, H. A., Degenhardt, L., Rehm, J., Baxter, A. J., Ferrari, A. J., Erskine, H. E., Charlson, F. J., Norman, R. E., Flaxman, A. D., Johns, N., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61611-6 · Cited by 6,006
A sharper Bonferroni procedure for multiple tests of significance
HOCHBERG, Y. (1988) · Biometrika · doi:10.1093/biomet/75.4.800 · Cited by 4,829
Rehm, J., Mathers, C., Popova, S., Thavorncharoensap, M., Teerawattananon, Y., & Patra, J. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60746-7 · Cited by 3,870
Extent of illicit drug use and dependence, and their contribution to the global burden of disease
Degenhardt, L. J., & Hall, W. (2012) · The Lancet · doi:10.1016/s0140-6736(11)61138-0 · Cited by 1,354
Adverse health effects of non-medical cannabis use
Hall, W., & Degenhardt, L. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61037-0 · Cited by 1,134
Medication-Assisted Therapies — Tackling the Opioid-Overdose Epidemic
Volkow, N. D., Frieden, T. R., Hyde, P. S., & Cha, S. S. (2014) · New England Journal of Medicine · doi:10.1056/nejmp1402780 · Cited by 1,014
Charlson, M. E., Charlson, R. E., Peterson, J. C., Marinopoulos, S. S., Briggs, W. M., & Hollenberg, J. P. (2008) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2008.01.006 · Cited by 894 · cited 4×
“This measure yields a weighted score predicting 10-year mortality risk for patients who present for treatment with a range of diagnosis-based comorbid medical conditions (Charlson et al., 2008).”
BackgroundMethodInfluentialDegenhardt, L. J., Whiteford, H., Ferrari, A. J., Baxter, A. J., Charlson, F., Hall, W., Freedman, G., Burstein, R., Johns, N. E., Engell, R. E., et al. (2013) · The Lancet · doi:10.1016/s0140-6736(13)61530-5 · Cited by 873
Schuckit, M. A. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60009-x · Cited by 715
Societal costs of prescription opioid abuse, dependence, and misuse in the United States
Birnbaum, H. G., White, A. G., Schiller, M., Waldman, T., Cleveland, J. M., & Roland, C. L. (2011) · Pain Medicine · doi:10.1111/j.1526-4637.2011.01075.x · Cited by 644
The Future of Family Medicine: A Collaborative Project of the Family Medicine Community
Future of Family Medicine Project Leadership Committee (2004) · The Annals of Family Medicine · doi:10.1370/afm.130 · Cited by 643
Edlund, M. J., Steffick, D., Hudson, T. J., Harris, K. M., & Sullivan, M. (2007) · Pain · doi:10.1016/j.pain.2007.02.014 · Cited by 480
Integrating Primary Medical Care With Addiction Treatment
Weisner, C. M., Mertens, J. R., Parthasarathy, S., Moore, C. D., & Lu, Y. (2001) · JAMA · doi:10.1001/jama.286.14.1715 · Cited by 368
Self-citationEdlund, M. J., Martin, B. C., Fan, M.-Y., DEVRIES, A. R., Braden, J. B., & Sullivan, M. D. (2010) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2010.05.017 · Cited by 320
Cannabis use and risk of lung cancer: a case–control study
Aldington, S., Harwood, M. L. N., Cox, B., Weatherall, M., Beckert, L., Hansell, A., Pritchard, A., Robinson, G., & Beasley, R. W. (2008) · European Respiratory Journal · doi:10.1183/09031936.00065707 · Cited by 263
Prescription Opioid Misuse, Abuse, and Treatment in the United States: An Update
Brady, K. T., McCauley, J. L., & Back, S. E. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2015.15020262 · Cited by 249
Mertens, J. R., Lu, Y. W., Parthasarathy, S., Moore, C., & Weisner, C. M. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.20.2511 · Cited by 216
Self-citationMoving beyond Parity — Mental Health and Addiction Care under the ACA
Barry, C. L., & Huskamp, H. (2011) · New England Journal of Medicine · doi:10.1056/nejmp1108649 · Cited by 184
Analytic models to identify patients at risk for prescription opioid abuse.
White, A. G., Birnbaum, H. G., Schiller, M., Tang, J., & Katz, N. P. (2009) · PubMed · Cited by 171
CHERPITEL, C. J. S., & Ye, Y. (2008) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2008.03.033 · Cited by 143
A Model to Identify Patients at Risk for Prescription Opioid Abuse, Dependence, and Misuse
Rice, J. B., White, A. G., Birnbaum, H. G., Schiller, M., Brown, D. A., & Roland, C. L. (2012) · Pain Medicine · doi:10.1111/j.1526-4637.2012.01450.x · Cited by 141
Cannabis Smoking and Risk of Lung Cancer in Men: A Pooled Analysis of Three Studies in Maghreb
Berthiller, J., Straíf, K., Boniol, M., Voirin, N., Benhaı̈m-Luzon, V., Ayoub, W. B., Dari, I., Laouamri, S., Hamdi-Chérif, M., Bartal, M., et al. (2008) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e31818ddcde · Cited by 116
The long‐term course of alcoholism, 5, 10 and 16 years after treatment
Mann, K. F., Schäfer, D. R., Längle, G., Ackermann, K., & Croissant, B. (2005) · Addiction · doi:10.1111/j.1360-0443.2005.01065.x · Cited by 109
Friedmann, P. D., Zhang, Z., Hendrickson, J. C., Stein, M. D., & Gerstein, D. R. (2003) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2003.10601.x · Cited by 99
The Cost of Health Conditions in a Health Maintenance Organization
Ray, G. T., Collin, F., Lieu, T. A., FIREMAN, B. H., Colby, C., Quesenberry, C. P., Eeden, S. K. V. D., & Selby, J. V. (2000) · Medical Care Research and Review · doi:10.1177/107755870005700106 · Cited by 84
Utilization and Cost Impact of Integrating Substance Abuse Treatment and Primary Care
Parthasarathy, S., Mertens, J. R., Moore, C. D., & Weisner, C. M. (2003) · Medical Care · doi:10.1097/01.mlr.0000053018.20700.56 · Cited by 82
Self-citationClark, R. E., Samnaliev, M., & McGovern, M. P. (2009) · Psychiatric Services · doi:10.1176/ps.2009.60.1.35 · Cited by 66
Mark, T. L., Levit, K. R., Yee, T., & Chow, C. M. (2014) · Health Affairs · doi:10.1377/hlthaff.2014.0163 · Cited by 57
Dickinson, W. P., & Miller, B. F. (2010) · Families Systems & Health · doi:10.1037/a0021866 · Cited by 47
Young, J. Q., Kline‐Simon, A. H., Mordecai, D. J., & Weisner, C. M. (2014) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2014.12.005 · Cited by 42
Self-citationThe Complexity of Disease Combinations in the Medicare Population
Sorace, J. M., Wong, H., Worrall, C. M., Kelman, J. A., Saneinejad, S., & MaCurdy, T. E. (2011) · Population Health Management · doi:10.1089/pop.2010.0044 · Cited by 41
Per capita alcohol consumption and all‐cause mortality in Canada, 1950–98
Norström, T. (2004) · Addiction · doi:10.1111/j.1360-0443.2004.00849.x · Cited by 39
Tetrault, J. M. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.3.221 · Cited by 4
Cited by
Sorted by citations
Wang, Q. Q., Kaelber, D. C., Xu, R., & Volkow, N. D. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00880-7 · Cited by 634
Witkiewitz, K., & Vowles, K. E. (2018) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.13594 · Cited by 248
Uhl, G. R., Koob, G. F., & Cable, J. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13989 · Cited by 286
Fond, G. B., Nemani, K., Etchecopar‐Etchart, D., Loundou, A., GOFF, D. C., Lee, S. W., Lançon, C., Auquier, P., Baumstarck, K., Llorca, P., et al. (2021) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2021.2274 · Cited by 228
Ali, F., Russell, C., Nafeh, F., Rehm, J. T., LeBlanc, S., & Elton‐Marshall, T. (2021) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2021.103237 · Cited by 172
Metadata
- Authors
- Bahorik, A. L., Satre, D. D., Kline-Simon, A. H., Weisner, C. M., & Campbell, C. I.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Bahorik, Amber L.
- Venue
- Journal of Addiction Medicine
- Published
- 2017-01
- Volume
- 11
- Issue
- 1
- Pages
- 3-9
- ISSN
- 1932-0620 (ISSN-L)
- 1935-3227
- PMC
- PMC5291754
- OpenAlex
- W2518262606
- Cited by
- 126
- References
- 33
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 14 · 2023: 22 · 2022: 25 · 2021: 21 · 2020: 20 · 2019: 8 · 2018: 4 · 2017: 5
- FWCI
- 5.30
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Addiction Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute on Drug Abuse (T32DA007250)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Opioid Use Disorder Treatment
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Keywords
- substance use disorders, alcoholism, cannabis use disorder, opioid use disorder, disease burden, comorbidities, Charlson Comorbidity Index, mortality risk, integrated care, privately insured patients
- MeSH terms
- Adult, California, Marijuana Abuse, Female, Humans, Male, Middle Aged, Mortality, Opioid-Related Disorders, Comorbidity, Delivery of Health Care, Integrated, Alcohol-Related Disorders, Electronic Health Records
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review