Two rapid urine screens for detection of bacteriuria: An evaluation

1993 ◽  
Vol 26 (1) ◽  
pp. 43-45 ◽  
Author(s):  
William F. Nauschuetz ◽  
Linda S. Harrison ◽  
Sylvia B. Trevino ◽  
Geri R. Becker ◽  
John Benton
Keyword(s):  
Urine Screens

Urine Screens in Monitoring Methadone Programs

JAMA ◽  
1977 ◽  
Vol 237 (9) ◽  
pp. 869 ◽  
Author(s):  
M. Jeffery Shoemaker
Keyword(s):  
Urine Screens

Urine Screens in Monitoring Methadone Programs-Reply

JAMA ◽  
1977 ◽  
Vol 237 (9) ◽  
pp. 870
Author(s):  
Edward Gottheil
Keyword(s):  
Urine Screens

Urine screens in monitoring methadone programs

JAMA ◽  
1977 ◽  
Vol 237 (9) ◽  
pp. 869a-871
Author(s):  
M. J. Shoemaker
Keyword(s):  
Urine Screens

Leukocyte esterase-nitrite and bioluminescence assays as urine screens.

1985 ◽  
Vol 22 (4) ◽  
pp. 531-534 ◽  
Author(s):  
B M Males ◽  
W R Bartholomew ◽  
D Amsterdam
Keyword(s):  
Urine Screens

scholarly journals Failure of Amoxicillin to Produce False-Positive Urine Screens for Cocaine Metabolite

2008 ◽  
Vol 32 (4) ◽  
pp. 315-323 ◽  
Author(s):  
G. M. Reisfield ◽  
J. Haddad ◽  
G. R. Wilson ◽  
L. M. Johannsen ◽  
K. L. Voorhees ◽  
...  
Keyword(s):  
False Positive ◽  
Positive Urine ◽  
Urine Screens

scholarly journals Usefulness of the Brief Pain Inventory in Patients with Opioid Addiction Receiving Methadone Maintenance Treatment

2016 ◽  
Vol 1;19 (1;1) ◽  
pp. E181-E195
Author(s):  
Zainab Samaan
Keyword(s):  
Chronic Pain ◽  
Methadone Maintenance Treatment ◽  
Prognostic Value ◽  
Maintenance Treatment ◽  
Methadone Maintenance ◽  
Brief Pain Inventory ◽  
Opioid Addiction ◽  
Opioid Use ◽  
Illicit Opioid Use ◽  
Urine Screens

Background: Chronic pain is implicated as a risk factor for illicit opioid use among patients with opioid addiction treated with methadone. However, there exists conflicting evidence that supports and refutes this claim. These discrepancies may stem from the large variability in pain measurement reported across studies. Objectives: We aim to determine the clinical and demographic characteristics of patients reporting pain and evaluate the prognostic value of different pain classification measures in a sample of opioid addiction patients. Study Design: Multi-center prospective cohort study. Setting: Methadone maintenance treatment facilities for managing patients with opioid addiction. Methods: This study includes participants from the Genetics of Opioid Addiction (GENOA) prospective cohort study. We assessed the prognostic value of different pain measures for predicting opioid relapse. Pain measures include the Brief Pain Inventory (BPI) and patients’ response to a direct pain question all study participants were asked from the GENOA case report form (CRF) “are you currently experiencing or have been diagnosed with chronic pain?” Performance characteristics of the GENOA CRF pain measure was estimated with sensitivity and specificity using the BPI as the gold standard reference. Prognostic value was assessed using pain classification as the primary independent variable in an adjusted analysis using 1) the percentage of positive opioid urine screens and 2) high-risk opioid use (≥ 50% positive opioid urine screens) as the dependent variables in a linear and logistic regression analyses, respectively. Results: Among participants eligible for inclusion (n = 444) the BPI was found to be highly sensitive, classifying a large number of GENOA participants with pain (n = 281 of the 297 classified with pain, 94.6%) in comparison to the GENOA CRF (n = 154 of 297 classified with pain, 51.8%). Participants concordantly classified as having pain according to the GENOA CRF and BPI were found to have an estimated 7.79% increase in positive opioid urine screens (estimated coefficient: 7.79; 95%CI 0.74, 14.85: P = 0.031) and a 4 times greater odds (odds ratio [OR]: 4.10 P = 0.008; 95%CI: 1.44, 11.63) of engaging in a “high risk” level of illicit opioids use. The prognostic relevance of pain classification was not maintained for the additional participants classified by the BPI (n = 143 discordant). Conclusion: These results suggest that while the BPI may be more sensitive in capturing pain among patients with opioid addiction, this tool is of less value for predicting the impact of pain on illicit opioid use for opioid addiction patients on methadone maintenance treatment. The GENOA CRF showed high predictive ability, whereby patients classified according to the GENOA CRF are at serious risk for opioid relapse. Using the appropriate tool to assess pain in opioid addiction may serve to improve the current detection and management of comorbid painLimitations: We caution the interpretation of these result since they are still reflective of participants already maintained on an opioid substitution therapy (OST), which can largely differ from patients who drop out of methadone maintenance treatment (MMT) or never seek treatment altogether. Key words: Chronic pain, opioid adiction, methadone maintenance treatment, relapse, addiction, measurement, brief pain inventory

Does therapeutic use of tapentadol cause false-positive urine screens for methadone or opiates?

2015 ◽  
Vol 53 (5) ◽  
pp. 493-494 ◽  
Author(s):  
Michael E. Mullins ◽  
Karl Hock ◽  
Mitchell G. Scott
Keyword(s):  
False Positive ◽  
Therapeutic Use ◽  
Positive Urine ◽  
Urine Screens

Effects of Cocaine-Positive Urine Screens on Serum Thyrotropin Levels in Patients Admitted to an Inpatient Mental Health Unit

2015 ◽  
Vol 108 (2) ◽  
pp. 130-131
Author(s):  
Matthew T. Koroscil ◽  
Jerome J. Schulte ◽  
Dean Bricker ◽  
Thomas M. Koroscil
Keyword(s):  
Mental Health ◽  
Health Unit ◽  
Inpatient Mental Health ◽  
Positive Urine ◽  
Mental Health Unit ◽  
Urine Screens
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