Back

Evaluating tramadol utilization and patterns by county-level social determinants of health characteristics from 2015 to 2022

Eze, C. D.; Abate, M.; Smith, G.; Dai, Z.; Wood, N.; Al-Mamun, M.

2025-11-06 addiction medicine
10.1101/2025.11.03.25339433 medRxiv
Show abstract

BackgroundTramadol, an opioid analgesic, is liable to abuse and implicated in drug overdose deaths in the U.S. However, tramadol use and its driving factors have not been intricately examined. This study aims to evaluate the tramadol utilization trends by dosage and county, and social determinants of health (SDoH)-related factors associated with the utilization rates. MethodsThe retrospective study utilized 2015-2022 WV controlled substances monitoring program, CDC opioid dispensing rate, and County Health Ranking and Roadmaps data. Average tramadol daily dose and morphine milligram equivalent were calculated. Annual tramadol dispensing and use rate per 100 population were calculated for WV and each county. Pooled Poisson regression model was used to analyze the relationship between tramadol dispensing rate, opioid dispensing rate, and SDoH variables. ResultsTramadol dispensing rate declined by 35% (2015-2022), but varied within counties with Grant (34.10), McDowell (28.91), and Wyoming (26.67) average annual rates exceeding the overall WV rate (17.90). High tramadol dispensing rate was associated with a high percentage of the population with poor/fair health ({beta}=0.07, p=0.01), physically inactive ({beta}=0.10, p=0.0003), uninsured ({beta}=0.09, p=0.001), and elevated primary care provider (PCP) rate ({beta}=0.10, p=0.0003) and opioid dispensing rate ({beta}=0.14, p<0.0001). ConclusionOur study found heterogenous trends of tramadol dispensing rate within WV and was associated with county-wise health status, physical inactivity, insurance, PCP, and opioid dispensing rates. Considering these factors in local surveillance might improve health, and reduce disease burden, drug, and health resource utilization.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 10%
17.8%
2
International Journal of Drug Policy
11 papers in training set
Top 0.1%
10.3%
3
Pharmacology Research & Perspectives
11 papers in training set
Top 0.1%
6.9%
4
BMC Health Services Research
42 papers in training set
Top 0.2%
6.9%
5
Drug and Alcohol Dependence
37 papers in training set
Top 0.2%
6.5%
6
JAMA Network Open
127 papers in training set
Top 0.5%
4.9%
50% of probability mass above
7
Frontiers in Psychiatry
83 papers in training set
Top 0.7%
4.9%
8
Scientific Reports
3102 papers in training set
Top 43%
2.8%
9
Neuropsychopharmacology
134 papers in training set
Top 1%
2.8%
10
The Lancet Public Health
20 papers in training set
Top 0.1%
2.6%
11
British Journal of Pharmacology
34 papers in training set
Top 0.1%
2.4%
12
Journal of General Internal Medicine
20 papers in training set
Top 0.4%
1.9%
13
International Journal of Environmental Research and Public Health
124 papers in training set
Top 4%
1.8%
14
PeerJ
261 papers in training set
Top 7%
1.7%
15
Addiction Neuroscience
17 papers in training set
Top 0.3%
1.7%
16
Pain
70 papers in training set
Top 0.6%
1.5%
17
Pharmacoepidemiology and Drug Safety
13 papers in training set
Top 0.3%
1.4%
18
Cureus
67 papers in training set
Top 3%
1.2%
19
Frontiers in Pharmacology
100 papers in training set
Top 4%
0.9%
20
Frontiers in Artificial Intelligence
18 papers in training set
Top 0.6%
0.8%
21
International Journal of Medical Informatics
25 papers in training set
Top 2%
0.8%
22
Frontiers in Public Health
140 papers in training set
Top 8%
0.7%
23
Addiction Biology
47 papers in training set
Top 0.7%
0.7%
24
Disaster Medicine and Public Health Preparedness
16 papers in training set
Top 2%
0.7%
25
JMIR Public Health and Surveillance
45 papers in training set
Top 5%
0.5%
26
PLOS Global Public Health
293 papers in training set
Top 6%
0.5%