| Literature DB >> 33192740 |
Udo Bonnet1,2, Michael Specka2, Michael Soyka3, Thomas Alberti4, Stefan Bender5, Torsten Grigoleit6, Leopold Hermle7, Jörg Hilger8, Thomas Hillemacher9,10, Thomas Kuhlmann11, Jens Kuhn4,12, Christian Luckhaus13, Christel Lüdecke14, Jens Reimer15,16, Udo Schneider17, Welf Schroeder18, Markus Stuppe19, Gerhard A Wiesbeck20, Norbert Wodarz21, Heath McAnally22,23, Norbert Scherbaum2.
Abstract
Background: Over the past 15 years, comparative assessments of psychoactive substance harms to both users and others have been compiled by addiction experts. None of these rankings however have included synthetic cannabinoids or non-opioid prescription analgesics (NOAs, e.g., gabapentinoids) despite evidence of increasing recreational use. We present here an updated assessment by German addiction medicine experts, considering changing Western consumption trends-including those of NOAs.Entities:
Keywords: alcohol; gabapentinoids; illicit abused substance; new psychoactive drugs; psychoropic drugs use
Year: 2020 PMID: 33192740 PMCID: PMC7649209 DOI: 10.3389/fpsyt.2020.592199
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Participants' characteristics.
| Age (years old) | Mean (SD) | 49.8 (9.6) | 52.9 (6.9) |
| Median | 50 | 55 | |
| Gender | Female ( | 26 (25.7%) | 10 (27.8%) |
| Male ( | 75 (74.3%) | 26 (72.2%) | |
| Years of professional experience | Mean (SD) | 21.6 (9.5) | 24.9 (8.2) |
| Median | 20 | 26 | |
| Years of tertiary care of SUD | Mean (SD) | 16.3 (8.4) | 17.6 (7.4) |
| Median | 15 | 16,5 | |
| Main focus of professional work | Acute care hospital ( | 76 (75.2%) | 26 (72.2%) |
| Rehabilitation hospital ( | 25 (24.8%) | 10 (27.8%) | |
Figure 1Average overall harm of 30 substances (mean values and standard deviations) as assessed by cohort 1 on a scale from 0 (‘not harmful’) to 4 (‘extremely harmful’), shown as harmful to users and harmful to others. The relative contribution of the 5 dimensions (Supplemental Figure 1, Supplemental Table 1) had been weighted by cohort 2.
Figure 3Correlation of the present assessment and the last EU-assessment (10) of the overall harm of drugs of abuse (rs = 0.73). For better orientation, the bisector indicates perfect correlation (rs = 1).
Plausibility check of the overall harm ranks.
| Crack | 2 | 2 | 2 | 1 | 2 | 1 | 0 | 1 |
| Methamphetamine | 1 | 1 | 3 | 3 | 3 | 2 | 1 | 1 |
| Heroin | 5 | 4 | 1 | 2 | 1 | 3 | 2 | 2 |
| Alcohol | 4 | 8 | 5 | 4 | 4 | 4 | 0 | 4 |
| Cocaine | 7 | 3 | 4 | 5 | 5 | 5 | 2 | 2 |
| GHB | 6 | 5 | 7 | 7 | 7 | 6 | 1 | 1 |
| Amphetamines | 11 | 6 | 6 | 6 | 6 | 7 | 1 | 4 |
| Cathinones | 9 | 10 | 10 | 9 | 8 | 8 | 0 | 2 |
| Synthetic cannabinoids | 13 | 7 | 9 | 8 | 11 | 9 | −2 | 3 |
| Propofol | 10 | 18 | 11 | 13 | 14 | 10 | 0 | 8 |
| Ecstasy | 15 | 16 | 12 | 10 | 9 | 11 | −2 | 5 |
| Natural hallucinogens | 8 | 14 | 18 | 15 | 17 | 12 | −4 | 5 |
| Ketamine | 14 | 15 | 13 | 11 | 12 | 13 | −2 | 2 |
| Barbiturates | 12 | 12 | 17 | 19 | 20 | 14 | −2 | 6 |
| Benzodiazepines | 16 | 9 | 15 | 18 | 16 | 15 | −6 | 3 |
| Cannabis | 21 | 13 | 8 | 17 | 10 | 16 | −8 | 5 |
| Psychotropic mushrooms | 18 | 17 | 16 | 14 | 13 | 17 | −3 | 5 |
| LSD | 20 | 11 | 14 | 16 | 15 | 18 | −7 | 2 |
| Nicotine | 3 | 25 | 24 | 12 | 18 | 19 | −16 | 6 |
| Opioidergic Analgesics | 19 | 19 | 19 | 23 | 22 | 20 | −1 | 3 |
| ZDrugs | 22 | 20 | 22 | 22 | 23 | 21 | −1 | 2 |
| Codeine | 23 | 22 | 20 | 20 | 19 | 22 | −3 | 1 |
| Tilidine/Tramadol | 24 | 21 | 21 | 21 | 24 | 23 | −2 | 1 |
| Methadone | 26 | 24 | 23 | 24 | 21 | 24 | −3 | 2 |
| Gabapentinoids | 27 | 23 | 27 | 27 | 27 | 25 | −2 | 2 |
| Buprenorphine | 30 | 27 | 25 | 25 | 25 | 26 | −1 | 4 |
| Methylphenidate | 28 | 26 | 26 | 26 | 26 | 27 | −1 | 1 |
| Flupirtine | 26 | 28 | 28 | 28 | 28 | 28 | −2 | 0 |
| NSAIDs | 17 | 29 | 29 | 29 | 29 | 29 | −12 | 0 |
| Triptans | 29 | 30 | 30 | 30 | 30 | 30 | −1 | 0 |
The lower the largest difference (LD)-value the lower the variability of the 5 dimension-ranks with reference to the (individual) overall harm (OH)-rank of any substance. Discrepancies of ≥8 ranks are marked with grey horizontal background indicating considerable variability of the single dimension-ranks with reference to the individual OH-rank requiring plausible explanations. Abbreviations of the single dimensions: PHU – physical harm to users, PSHU – psychological harm to users, SHU – social harm to users, PPHO – physical & psychological harm to others, SHO – social harm to others, OH – overall harm, LD− – largest difference between OH-rank and any lower dimension-rank, LD+ – largest difference between OH-rank and any higher dimension-rank.
Figure 2Comparison of assessments between specialists at acute (n = 76, blue curve) vs. rehabilitation hospitals (n = 25, red curve).