Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Chronic pain patients are frequently maintained on one or more powerful opioid medications in combination with other psychoactive medications. Urine tests provide objective information regarding patient compliance status. Little information is available on testing this unique population. The goal of this study was to characterize drug disposition patterns in urine specimens collected from a large population of pain patients. Confirmation data for 10,922 positive specimens were collated into 11 drug Classes. The number of drug/metabolites tested (#) and number of confirmed positive specimens were as follows: amphetamines (7), 160; barbiturates (5), 308; benzodiazepines (6), 2397; cannabinoids (1), 967; carisoprodol (2), 611; cocaine (1), 310; fentanyl (1), 458; meperidine (2), 58; methadone (2), 1209; opiates (7), 8996; and propoxyphene (2), 385. Subdivision into 19 distinct drug Groups allowed characterization of drug use patterns. Of the 10,922 positive specimens, 15,859 results were reported as positive in various drug Classes, and 27,197 drug/metabolites were measured by gas chromatography-mass spectrometry. The frequency of illicit drug use (cannabis, cocaine, ecstasy) was 10.8%. Being the first study of this type, these data present a large array of information on licit and illicit drug use, drug detection frequencies, drug/metabolite patterns, and multi-drug use combinations in pain patients.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1093/jat/32.8.530 | DOI Listing |
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