| Literature DB >> 20950455 |
April M Young1, Jennifer R Havens, Carl G Leukefeld.
Abstract
BACKGROUND: Nonmedical prescription opioid use has emerged as a major public health concern in recent years, particularly in rural Appalachia. Little is known about the routes of administration (ROA) involved in nonmedical prescription opioid use among rural and urban drug users. The purpose of this study was to describe rural-urban differences in ROA for nonmedical prescription opioid use.Entities:
Year: 2010 PMID: 20950455 PMCID: PMC2967505 DOI: 10.1186/1477-7517-7-24
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Comparison of demographic characteristics for rural (n = 101) and urban (n = 111) drug users
| Descriptive characteristics | Rural | Urban | Total | |
|---|---|---|---|---|
| Male | 57 (58.2) | 56 (50.9) | 113 (54.3) | 0.294 |
| White | 96 (95.0) | 11 (9.9) | 107 (50.5) | |
| Age - median (IQR) | 33 (27 - 43) | 42 (30 - 49) | 37 (29 - 47) | |
| Years in county - median (IQR) | 31.0 (25 - 37) | 30.5 (16.5 - 43) | 31.0 (23 - 41) | 0.467 |
| Years of formal education - median (IQR) | 12.0 (9 - 12) | 12 (12 - 14) | 12.0 (10 - 12.5) | |
| Recent legal income*- median (IQR) | $600 (300 - 800) | $720.50 (468 - 1289) | $665 (400 - 1020) | |
| Employed in Past 30 Days | 43 (42.6) | 61 (55.0) | 104 (49.1) | 0.072 |
| Receives Pension for Disability | 21 (20.8) | 21 (18.9) | 42 (19.8) | 0.733 |
| Married/Remarried | 29 (28.7) | 16 (14.4) | 45 (21.2) | |
| Non-religious | 64 (63.4) | 30 (27.0) | 94 (44.3) | |
| Uninsured | 57 (56.4) | 68 (61.3) | 125 (59.0) | 0.488 |
| Has Chronic Medical Problem | 57 (56.4) | 49 (44.1) | 106 (50.0) | 0.074 |
| Prescribed Medication for Physical Problem | 36 (35.6) | 58 (52.3) | 94 (44.3) | |
| Ever Treated for Drug/Alcohol Problem | 49 (48.5) | 48 (43.2) | 97 (45.8) | 0.442 |
| ASI Composite Drug Use Score - median (IQR) | 0.26 (0.14 - 0.34) | 0.08 (0.03 - 0.17) | 0.16 (0.06 - 0.28) | |
| Psychiatric characteristics | ||||
| Major Depressive Disorder | 47 (46.5) | 28 (25.2) | 75 (35.4) | |
| Generalized Anxiety Disorder | 41 (40.6) | 38 (34.2) | 79 (37.3) | 0.339 |
| Post-traumatic Stress Disorder | 20 (19.8) | 13 (11.7) | 33 (15.6) | 0.105 |
| Anti-social Personality Disorder | 32 (31.7) | 31 (27.9) | 63 (29.7) | 0.550 |
IQR - Interquartile range, ASI - Addiction Severity Index [47]
* Income in past 30 days from employment, unemployment compensation, welfare, pension, benefits, social security, mate, family, friends, or child support
Age-, gender-, and race-adjusted comparisons for route of drug administration among rural (n = 101) and urban (n = 111) drug users
| Rural | Urban | Adjusted * | |
|---|---|---|---|
| % | % | ||
| Buprenorphine (sublingual tablets) | 50.5 | 0 | --- |
| Swallowing | 31.7 | 0 | --- |
| Snorting | 26.7 | 0 | --- |
| Injecting | 3.0 | 0 | --- |
| Fentanyl (patch) | 35.6 | 0 | --- |
| Swallowing | 25.7 | 0 | --- |
| Snorting | 1.0 | 0 | --- |
| Injecting | 14.9 | 0 | --- |
| Hydrocodone (tablets) | 90.1 | 91.9 | 0.408 |
| Swallowing | 68.3 | 91.9 | |
| Snorting | 74.3 | 6.3 | |
| Injecting | 0 | 0 | --- |
| Hydromorphone (all formulations) | 32.7 | 4.6 | |
| Swallowing | 6.9 | 4.5 | 0.524 |
| Snorting | 5.9 | 0.9 | 0.472 |
| Injecting | 21.8 | 0 | --- |
| Methadone (tablets) | 77.2 | 3.6 | |
| Swallowing | 27.7 | 3.6 | 0.083 |
| Snorting | 64.4 | 0 | --- |
| Injecting | 1.0 | 0 | --- |
| Morphine (all formulations) | 53.5 | 4.6 | |
| Swallowing | 14.9 | 3.6 | 0.652 |
| Snorting | 17.8 | 0.9 | 0.547 |
| Injecting | 33.7 | 0 | --- |
| OxyContin® (generic/tablets) | 86.1 | 23.6 | |
| Swallowing | 25.7 | 22.5 | 0.442 |
| Snorting | 68.3 | 3.6 | |
| Injecting | 44.6 | 0 | --- |
| Other Oxycodone** (tablets) | 83.2 | 50.0 | 0.374 |
| Swallowing | 31.7 | 47.7 | |
| Snorting | 68.3 | 1.8 | |
| Injecting | 3.0 | 0 | --- |
* p-values adjusting for age, race, and gender
** Includes, for example, Tylox®, Percocet®, and Percodan®